ParadisEO-MOEO 1.0 beta version working with autotools

git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@396 331e1502-861f-0410-8da2-ba01fb791d7f
This commit is contained in:
liefooga 2007-06-26 12:39:03 +00:00
commit d3cdc48b64
129 changed files with 11745 additions and 0 deletions

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Arnaud Liefooghe
Thomas Legrand
Sébastien Cahon
Abdelhakim Deneche

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SUBDIRS = doc src tutorial
clean_all: clean_aux clean_doc
-@make clean
-@(rm -rf aclocal.m4 autom4te.cache configure config.* CO* dep* INST* install-sh miss* mkins* Makefile Makefile.in;\
cd doc; rm -rf Makefile Makefile.in *.doxytag; cd ../src ; rm -rf Makefile Makefile.in; cd core ; rm -rf Makefile Makefile.in;\
cd ../../tutorial; rm -rf Makefile Makefile.in; cd Lesson1; rm -rf .deps/ Makefile Makefile.in *.status;\
cd flowshop; rm -rf .deps/ Makefile Makefile.in; cd ../../Lesson2; rm -rf .deps/ Makefile Makefile.in)
clean_aux:
-@find . \( -name "*~" -o -name "*.old" -o -name "#*" -o -name "*.bak" \) -print -exec rm -rf \{\} \;
doc:
-@(cd doc; make doc)
clean_doc:
-@(cd doc; make clean-local)

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* release 1.0

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PARADISEO-MOEO README FILE
=======================================================================
check latest news at http://paradiseo.gforge.inria.fr/
=======================================================================
Welcome to ParadisEO-MOEO, the Multi-Objective Evolving Objects library.
The latest news about ParadisEO-MOEO can be found on the gforge repository at
http://paradiseo.gforge.inria.fr/
In case of any problem, please e-mail us at
paradiseo-help@lists.gforge.inria.fr
==================================================================
BUILDING PARADISEO-MOEO
==================================================================
The basic installation procedure goes the following:
Go to your build-directory and run
> ./autogen.sh --with-EOdir=$(EO_SRC)
> make
> make doc
where $(EO_SRC) is the top-level source directory of PARADISEO-EO.
In case of problems, you can read the INSTALL file - but remember this
is a standard installation file from GNU and that it contains nothing
specific about PARADISEO-MOEO.
To clean everything, the simply run
> make clean_all
===================================================================
DIRECTORY STRUCTURE
===================================================================
After unpacking the archive file, you should end up with the following
structure:
.../ The main PARADISEO-MOEO directory, created when unpacking.
|
+-- src SOURCE directory Contains most PARADISEO-MOEO .h files.
|
+-- docs DOCUMENTATION directory (generated by Doxygen).
| |
| +- html HTML files - start at index.html.
| |
| +- latex latex files - use to generate Postcript doc.
| |
| +- man Unix man format documentation.
|
|
+-- tutorials APPLICATIONS - one directory per separate application.
|
+-- lesson1 A bi-objective flow-shop problem example with main algorithms.
| |
| +- flowshop Flow-shop source files
| |
| +- benchmarks Instance files for testing.
|
|-- lesson2 Implement NSGA-II for the SCH1 problem.
===================================================================
NOTES
===================================================================
Mailing list : paradiseo-help@lists.gforge.inria.fr

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#!/bin/sh
# Run this to generate all the initial makefiles, etc.
srcdir=`dirname $0`
PKG_NAME="the package."
DIE=0
(autoconf --version) < /dev/null > /dev/null 2>&1 || {
echo
echo "**Error**: You must have \`autoconf' installed to."
echo "Download the appropriate package for your distribution,"
echo "or get the source tarball at ftp://ftp.gnu.org/pub/gnu/"
DIE=1
}
(grep "^AM_PROG_LIBTOOL" $srcdir/configure.in >/dev/null) && {
(libtool --version) < /dev/null > /dev/null 2>&1 || {
echo
echo "**Error**: You must have \`libtool' installed."
echo "Get ftp://ftp.gnu.org/pub/gnu/libtool-1.2d.tar.gz"
echo "(or a newer version if it is available)"
DIE=1
}
}
grep "^AM_GNU_GETTEXT" $srcdir/configure.in >/dev/null && {
grep "sed.*POTFILES" $srcdir/configure.in >/dev/null || \
(gettext --version) < /dev/null > /dev/null 2>&1 || {
echo
echo "**Error**: You must have \`gettext' installed."
echo "Get ftp://alpha.gnu.org/gnu/gettext-0.10.35.tar.gz"
echo "(or a newer version if it is available)"
DIE=1
}
}
grep "^AM_GNOME_GETTEXT" $srcdir/configure.in >/dev/null && {
grep "sed.*POTFILES" $srcdir/configure.in >/dev/null || \
(gettext --version) < /dev/null > /dev/null 2>&1 || {
echo
echo "**Error**: You must have \`gettext' installed."
echo "Get ftp://alpha.gnu.org/gnu/gettext-0.10.35.tar.gz"
echo "(or a newer version if it is available)"
DIE=1
}
}
(automake --version) < /dev/null > /dev/null 2>&1 || {
echo
echo "**Error**: You must have \`automake' installed."
echo "Get ftp://ftp.gnu.org/pub/gnu/automake-1.3.tar.gz"
echo "(or a newer version if it is available)"
DIE=1
NO_AUTOMAKE=yes
}
# if no automake, don't bother testing for aclocal
test -n "$NO_AUTOMAKE" || (aclocal --version) < /dev/null > /dev/null 2>&1 || {
echo
echo "**Error**: Missing \`aclocal'. The version of \`automake'"
echo "installed doesn't appear recent enough."
echo "Get ftp://ftp.gnu.org/pub/gnu/automake-1.3.tar.gz"
echo "(or a newer version if it is available)"
DIE=1
}
if test "$DIE" -eq 1; then
exit 1
fi
if test -z "$*"; then
echo "**Warning**: I am going to run \`configure' with no arguments."
echo "If you wish to pass any to it, please specify them on the"
echo \`$0\'" command line."
echo
fi
case $CC in
xlc )
am_opt=--include-deps;;
esac
for coin in `find $srcdir -name configure.in -print`
do
dr=`dirname $coin`
if test -f $dr/NO-AUTO-GEN; then
echo skipping $dr -- flagged as no auto-gen
else
echo processing $dr
macrodirs=`sed -n -e 's,AM_ACLOCAL_INCLUDE(\(.*\)),\1,gp' < $coin`
( cd $dr
aclocalinclude="$ACLOCAL_FLAGS"
for k in $macrodirs; do
if test -d $k; then
aclocalinclude="$aclocalinclude -I $k"
##else
## echo "**Warning**: No such directory \`$k'. Ignored."
fi
done
if grep "^AM_GNU_GETTEXT" configure.in >/dev/null; then
if grep "sed.*POTFILES" configure.in >/dev/null; then
: do nothing -- we still have an old unmodified configure.in
else
echo "Creating $dr/aclocal.m4 ..."
test -r $dr/aclocal.m4 || touch $dr/aclocal.m4
echo "Running gettextize... Ignore non-fatal messages."
echo "no" | gettextize --force --copy
echo "Making $dr/aclocal.m4 writable ..."
test -r $dr/aclocal.m4 && chmod u+w $dr/aclocal.m4
fi
fi
if grep "^AM_GNOME_GETTEXT" configure.in >/dev/null; then
echo "Creating $dr/aclocal.m4 ..."
test -r $dr/aclocal.m4 || touch $dr/aclocal.m4
echo "Running gettextize... Ignore non-fatal messages."
echo "no" | gettextize --force --copy
echo "Making $dr/aclocal.m4 writable ..."
test -r $dr/aclocal.m4 && chmod u+w $dr/aclocal.m4
fi
if grep "^AM_PROG_LIBTOOL" configure.in >/dev/null; then
echo "Running libtoolize..."
libtoolize --force --copy
fi
echo "Running aclocal $aclocalinclude ..."
aclocal $aclocalinclude
if grep "^AM_CONFIG_HEADER" configure.in >/dev/null; then
echo "Running autoheader..."
autoheader
fi
echo "Running automake --gnu $am_opt ..."
automake --add-missing --gnu $am_opt
echo "Running autoconf ..."
autoconf
)
fi
done
#conf_flags="--enable-maintainer-mode --enable-compile-warnings" #--enable-iso-c
if test x$NOCONFIGURE = x; then
echo Running $srcdir/configure $conf_flags "$@" ...
$srcdir/configure $conf_flags "$@" \
&& echo Now type \`make\' to compile $PKG_NAME
else
echo Skipping configure process.
fi

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AC_INIT(configure.in)
AM_INIT_AUTOMAKE(moeo, 0.1)
AC_ISC_POSIX
AC_PROG_CXX
AM_PROG_CC_STDC
AC_HEADER_STDC
AC_PROG_RANLIB
AC_PROG_INSTALL
AC_PROG_LN_S
AC_PROG_MAKE_SET
AC_C_CONST
AC_C_INLINE
AC_TYPE_SIZE_T
AC_SUBST(EO_DIR)
dnl EO
AC_ARG_WITH(EOdir,
--with-EOdir : Giving the path of the EO tree.,
EO_DIR="$withval"
if test ! -d $EO_DIR
then
echo ""
echo "# --with-EOdir Invalid directory $withval"
exit 1
fi,
echo ""
echo "# You forgot to give the path of the EO tree !"
echo "# Please write something like ... './configure --with-EOdir=\$HOME/eo'"
exit 1
)
AC_OUTPUT([
Makefile
src/Makefile
src/core/Makefile
doc/Makefile
tutorial/Makefile
tutorial/Lesson1/Makefile
tutorial/Lesson1/flowshop/Makefile
tutorial/Lesson2/Makefile
])

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doc:
-@doxygen moeo.doxyfile
clean-local:
rm -rf html latex man

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/** @mainpage Welcome to ParadisEO-MOEO
@section intro Introduction
ParadisEO-MOEO is a white-box object-oriented generic framework dedicated to the flexible design of evolutionary multi-objective algorithms.
This paradigm-free software embeds some features and techniques for Pareto-based resolution and
aims to provide a set of classes allowing to ease and speed up the development of computationally efficient programs.
It is based on a clear conceptual distinction between the solution methods and the multi-objective problems they are intended to solve.
This separation confers a maximum design and code reuse.
ParadisEO-MOEO provides a broad range of archive-related features (such as elitism or performance metrics)
and the most common Pareto-based fitness assignment strategies (MOGA, NSGA, SPEA, IBEA and more).
Furthermore, parallel and distributed models as well as hybridization mechanisms can be applied to an algorithm designed within ParadisEO-MOEO
using the whole version of ParadisEO.
@section tutorials Tutorials
Tutorials for ParadisEO-MOEO are available <a href="http://paradiseo.gforge.inria.fr/index.php?n=Paradiseo.UsersGuides">here</a>.
@section install Installation
The installation procedure of the package is detailed in the <a
href="../../README">README</a> file in the top-directory of the source-tree.
@section design Overall Design
For an introduction to the design of ParadisEO-MOEO,
you can look at the <a href="http://paradiseo.gforge.inria.fr">ParadisEO website</a>.
*/
/** @page webpages Related webpages
- ParadisEO <a href="http://paradiseo.gforge.inria.fr">homepage</a>
- INRIA GForge <a href="http://gforge.inria.fr/projects/paradiseo/">project page</a>
- <a href="../../README">README</a>
- <a href="../../NEWS">NEWS</a>
*/

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# Doxyfile 1.5.1
#---------------------------------------------------------------------------
# Project related configuration options
#---------------------------------------------------------------------------
PROJECT_NAME = ParadisEO-MOEO
PROJECT_NUMBER = 1.0
OUTPUT_DIRECTORY =
CREATE_SUBDIRS = NO
OUTPUT_LANGUAGE = English
USE_WINDOWS_ENCODING = NO
BRIEF_MEMBER_DESC = YES
REPEAT_BRIEF = YES
ABBREVIATE_BRIEF = "The $name class" \
"The $name widget" \
"The $name file" \
is \
provides \
specifies \
contains \
represents \
a \
an \
the
ALWAYS_DETAILED_SEC = NO
INLINE_INHERITED_MEMB = NO
FULL_PATH_NAMES = NO
STRIP_FROM_PATH =
STRIP_FROM_INC_PATH =
SHORT_NAMES = NO
JAVADOC_AUTOBRIEF = YES
MULTILINE_CPP_IS_BRIEF = NO
DETAILS_AT_TOP = NO
INHERIT_DOCS = YES
SEPARATE_MEMBER_PAGES = NO
TAB_SIZE = 8
ALIASES =
OPTIMIZE_OUTPUT_FOR_C = NO
OPTIMIZE_OUTPUT_JAVA = NO
BUILTIN_STL_SUPPORT = NO
DISTRIBUTE_GROUP_DOC = NO
SUBGROUPING = YES
#---------------------------------------------------------------------------
# Build related configuration options
#---------------------------------------------------------------------------
EXTRACT_ALL = NO
EXTRACT_PRIVATE = YES
EXTRACT_STATIC = YES
EXTRACT_LOCAL_CLASSES = YES
EXTRACT_LOCAL_METHODS = NO
HIDE_UNDOC_MEMBERS = YES
HIDE_UNDOC_CLASSES = YES
HIDE_FRIEND_COMPOUNDS = NO
HIDE_IN_BODY_DOCS = NO
INTERNAL_DOCS = NO
CASE_SENSE_NAMES = YES
HIDE_SCOPE_NAMES = NO
SHOW_INCLUDE_FILES = YES
INLINE_INFO = YES
SORT_MEMBER_DOCS = NO
SORT_BRIEF_DOCS = NO
SORT_BY_SCOPE_NAME = NO
GENERATE_TODOLIST = YES
GENERATE_TESTLIST = YES
GENERATE_BUGLIST = YES
GENERATE_DEPRECATEDLIST= YES
ENABLED_SECTIONS =
MAX_INITIALIZER_LINES = 30
SHOW_USED_FILES = YES
SHOW_DIRECTORIES = NO
FILE_VERSION_FILTER =
#---------------------------------------------------------------------------
# configuration options related to warning and progress messages
#---------------------------------------------------------------------------
QUIET = YES
WARNINGS = YES
WARN_IF_UNDOCUMENTED = YES
WARN_IF_DOC_ERROR = YES
WARN_NO_PARAMDOC = NO
WARN_FORMAT = "$file:$line: $text"
WARN_LOGFILE =
#---------------------------------------------------------------------------
# configuration options related to the input files
#---------------------------------------------------------------------------
INPUT = . ../src
FILE_PATTERNS = *.cpp \
*.h \
NEWS README
RECURSIVE = YES
EXCLUDE =
EXCLUDE_SYMLINKS = NO
EXCLUDE_PATTERNS =
EXAMPLE_PATH =
EXAMPLE_PATTERNS = *
EXAMPLE_RECURSIVE = NO
IMAGE_PATH =
INPUT_FILTER =
FILTER_PATTERNS =
FILTER_SOURCE_FILES = NO
#---------------------------------------------------------------------------
# configuration options related to source browsing
#---------------------------------------------------------------------------
SOURCE_BROWSER = YES
INLINE_SOURCES = NO
STRIP_CODE_COMMENTS = YES
REFERENCED_BY_RELATION = YES
REFERENCES_RELATION = YES
REFERENCES_LINK_SOURCE = YES
USE_HTAGS = NO
VERBATIM_HEADERS = YES
#---------------------------------------------------------------------------
# configuration options related to the alphabetical class index
#---------------------------------------------------------------------------
ALPHABETICAL_INDEX = YES
COLS_IN_ALPHA_INDEX = 3
IGNORE_PREFIX = moeo
#---------------------------------------------------------------------------
# configuration options related to the HTML output
#---------------------------------------------------------------------------
GENERATE_HTML = YES
HTML_OUTPUT = html
HTML_FILE_EXTENSION = .html
HTML_HEADER =
HTML_FOOTER =
HTML_STYLESHEET =
HTML_ALIGN_MEMBERS = YES
GENERATE_HTMLHELP = NO
CHM_FILE =
HHC_LOCATION =
GENERATE_CHI = NO
BINARY_TOC = NO
TOC_EXPAND = NO
DISABLE_INDEX = NO
ENUM_VALUES_PER_LINE = 4
GENERATE_TREEVIEW = YES
TREEVIEW_WIDTH = 250
#---------------------------------------------------------------------------
# configuration options related to the LaTeX output
#---------------------------------------------------------------------------
GENERATE_LATEX = YES
LATEX_OUTPUT = latex
LATEX_CMD_NAME = latex
MAKEINDEX_CMD_NAME = makeindex
COMPACT_LATEX = NO
PAPER_TYPE = a4wide
EXTRA_PACKAGES =
LATEX_HEADER =
PDF_HYPERLINKS = NO
USE_PDFLATEX = NO
LATEX_BATCHMODE = NO
LATEX_HIDE_INDICES = NO
#---------------------------------------------------------------------------
# configuration options related to the RTF output
#---------------------------------------------------------------------------
GENERATE_RTF = NO
RTF_OUTPUT = rtf
COMPACT_RTF = NO
RTF_HYPERLINKS = NO
RTF_STYLESHEET_FILE =
RTF_EXTENSIONS_FILE =
#---------------------------------------------------------------------------
# configuration options related to the man page output
#---------------------------------------------------------------------------
GENERATE_MAN = YES
MAN_OUTPUT = man
MAN_EXTENSION = .3
MAN_LINKS = NO
#---------------------------------------------------------------------------
# configuration options related to the XML output
#---------------------------------------------------------------------------
GENERATE_XML = NO
XML_OUTPUT = xml
XML_SCHEMA =
XML_DTD =
XML_PROGRAMLISTING = YES
#---------------------------------------------------------------------------
# configuration options for the AutoGen Definitions output
#---------------------------------------------------------------------------
GENERATE_AUTOGEN_DEF = NO
#---------------------------------------------------------------------------
# configuration options related to the Perl module output
#---------------------------------------------------------------------------
GENERATE_PERLMOD = NO
PERLMOD_LATEX = NO
PERLMOD_PRETTY = YES
PERLMOD_MAKEVAR_PREFIX =
#---------------------------------------------------------------------------
# Configuration options related to the preprocessor
#---------------------------------------------------------------------------
ENABLE_PREPROCESSING = YES
MACRO_EXPANSION = NO
EXPAND_ONLY_PREDEF = NO
SEARCH_INCLUDES = YES
INCLUDE_PATH =
INCLUDE_FILE_PATTERNS =
PREDEFINED =
EXPAND_AS_DEFINED =
SKIP_FUNCTION_MACROS = YES
#---------------------------------------------------------------------------
# Configuration::additions related to external references
#---------------------------------------------------------------------------
TAGFILES = ../../paradiseo-eo/doc/eo.doxytag=../../../paradiseo-eo/doc/html
GENERATE_TAGFILE = moeo.doxytag
ALLEXTERNALS = NO
EXTERNAL_GROUPS = YES
PERL_PATH = /usr/bin/perl
#---------------------------------------------------------------------------
# Configuration options related to the dot tool
#---------------------------------------------------------------------------
CLASS_DIAGRAMS = YES
HIDE_UNDOC_RELATIONS = YES
HAVE_DOT = NO
CLASS_GRAPH = YES
COLLABORATION_GRAPH = YES
GROUP_GRAPHS = YES
UML_LOOK = NO
TEMPLATE_RELATIONS = NO
INCLUDE_GRAPH = YES
INCLUDED_BY_GRAPH = YES
CALL_GRAPH = NO
CALLER_GRAPH = NO
GRAPHICAL_HIERARCHY = YES
DIRECTORY_GRAPH = YES
DOT_IMAGE_FORMAT = png
DOT_PATH =
DOTFILE_DIRS =
MAX_DOT_GRAPH_WIDTH = 1024
MAX_DOT_GRAPH_HEIGHT = 1024
MAX_DOT_GRAPH_DEPTH = 0
DOT_TRANSPARENT = NO
DOT_MULTI_TARGETS = NO
GENERATE_LEGEND = YES
DOT_CLEANUP = YES
#---------------------------------------------------------------------------
# Configuration::additions related to the search engine
#---------------------------------------------------------------------------
SEARCHENGINE = YES

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SUBDIRS = core

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// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
//-----------------------------------------------------------------------------
// moeoAlgo.h
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
/*
This library...
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
*/
//-----------------------------------------------------------------------------
#ifndef MOEOALGO_H_
#define MOEOALGO_H_
/**
* Abstract class for multi-objective algorithms.
*/
class moeoAlgo {};
#endif /*MOEOALGO_H_*/

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// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
//-----------------------------------------------------------------------------
// moeoCombinedLS.h
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
/*
This library...
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
*/
//-----------------------------------------------------------------------------
#ifndef MOEOCOMBINEDLS_H_
#define MOEOCOMBINEDLS_H_
#include <vector>
#include <algo/moeoLS.h>
#include <archive/moeoArchive.h>
/**
* This class allows to embed a set of local searches that are sequentially applied,
* and so working and updating the same archive of non-dominated solutions.
*/
template < class MOEOT, class Type >
class moeoCombinedLS : public moeoLS < MOEOT, Type >
{
public:
/**
* Ctor
* @param _first_mols the first multi-objective local search to add
*/
moeoCombinedLS(moeoLS < MOEOT, Type > & _first_mols)
{
combinedLS.push_back (& _first_mols);
}
/**
* Adds a new local search to combine
* @param _mols the multi-objective local search to add
*/
void add(moeoLS < MOEOT, Type > & _mols)
{
combinedLS.push_back(& _mols);
}
/**
* Gives a new solution in order to explore the neigborhood.
* The new non-dominated solutions are added to the archive
* @param _type the object to apply the local search to
* @param _arch the archive of non-dominated solutions
*/
void operator () (Type _type, moeoArchive < MOEOT > & _arch)
{
for (unsigned int i=0; i<combinedLS.size(); i++)
combinedLS[i] -> operator()(_type, _arch);
}
private:
/** the vector that contains the combined LS */
std::vector< moeoLS < MOEOT, Type > * > combinedLS;
};
#endif /*MOEOCOMBINEDLS_H_*/

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// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
//-----------------------------------------------------------------------------
// moeoEA.h
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
/*
This library...
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
*/
//-----------------------------------------------------------------------------
#ifndef MOEOEA_H_
#define MOEOEA_H_
#include <eoAlgo.h>
#include <algo/moeoAlgo.h>
/**
* Abstract class for multi-objective evolutionary algorithms.
*/
template < class MOEOT >
class moeoEA : public moeoAlgo, public eoAlgo < MOEOT > {};
#endif /*MOEOEA_H_*/

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// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
//-----------------------------------------------------------------------------
// moeoEasyEA.h
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
/*
This library...
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
*/
//-----------------------------------------------------------------------------
#ifndef _MOEOEASYEA_H
#define _MOEOEASYEA_H
#include <apply.h>
#include <eoBreed.h>
#include <eoContinue.h>
#include <eoMergeReduce.h>
#include <eoPopEvalFunc.h>
#include <eoSelect.h>
#include <eoTransform.h>
#include <algo/moeoEA.h>
#include <diversity/moeoDiversityAssignment.h>
#include <diversity/moeoDummyDiversityAssignment.h>
#include <fitness/moeoFitnessAssignment.h>
#include <replacement/moeoReplacement.h>
/**
* An easy class to design multi-objective evolutionary algorithms.
*/
template < class MOEOT >
class moeoEasyEA: public moeoEA < MOEOT >
{
public:
/**
* Ctor taking a breed and merge.
* @param _continuator the stopping criteria
* @param _eval the evaluation functions
* @param _breed the breeder
* @param _replace the replacement strategy
* @param _fitnessEval the fitness evaluation scheme
* @param _diversityEval the diversity evaluation scheme
* @param _evalFitAndDivBeforeSelection put this parameter to 'true' if you want to re-evalue the fitness and the diversity of the population before the selection process
*/
moeoEasyEA(eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoBreed < MOEOT > & _breed, moeoReplacement < MOEOT > & _replace,
moeoFitnessAssignment < MOEOT > & _fitnessEval, moeoDiversityAssignment < MOEOT > & _diversityEval, bool _evalFitAndDivBeforeSelection = false)
:
continuator(_continuator), eval (_eval), loopEval(_eval), popEval(loopEval), selectTransform(dummySelect, dummyTransform), breed(_breed), mergeReduce(dummyMerge, dummyReduce), replace(_replace),
fitnessEval(_fitnessEval), diversityEval(_diversityEval), evalFitAndDivBeforeSelection(_evalFitAndDivBeforeSelection)
{}
/**
* Ctor taking a breed, a merge and a eoPopEval.
* @param _continuator the stopping criteria
* @param _popEval the evaluation functions for the whole population
* @param _breed the breeder
* @param _replace the replacement strategy
* @param _fitnessEval the fitness evaluation scheme
* @param _diversityEval the diversity evaluation scheme
* @param _evalFitAndDivBeforeSelection put this parameter to 'true' if you want to re-evalue the fitness and the diversity of the population before the selection process
*/
moeoEasyEA(eoContinue < MOEOT > & _continuator, eoPopEvalFunc < MOEOT > & _popEval, eoBreed < MOEOT > & _breed, moeoReplacement < MOEOT > & _replace,
moeoFitnessAssignment < MOEOT > & _fitnessEval, moeoDiversityAssignment < MOEOT > & _diversityEval, bool _evalFitAndDivBeforeSelection = false)
:
continuator(_continuator), eval (dummyEval), loopEval(dummyEval), popEval(_popEval), selectTransform(dummySelect, dummyTransform), breed(_breed), mergeReduce(dummyMerge, dummyReduce), replace(_replace),
fitnessEval(_fitnessEval), diversityEval(_diversityEval), evalFitAndDivBeforeSelection(_evalFitAndDivBeforeSelection)
{}
/**
* Ctor taking a breed, a merge and a reduce.
* @param _continuator the stopping criteria
* @param _eval the evaluation functions
* @param _breed the breeder
* @param _merge the merge scheme
* @param _reduce the reduce scheme
* @param _fitnessEval the fitness evaluation scheme
* @param _diversityEval the diversity evaluation scheme
* @param _evalFitAndDivBeforeSelection put this parameter to 'true' if you want to re-evalue the fitness and the diversity of the population before the selection process
*/
moeoEasyEA(eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoBreed < MOEOT > & _breed, eoMerge < MOEOT > & _merge, eoReduce< MOEOT > & _reduce,
moeoFitnessAssignment < MOEOT > & _fitnessEval, moeoDiversityAssignment < MOEOT > & _diversityEval, bool _evalFitAndDivBeforeSelection = false)
:
continuator(_continuator), eval(_eval), loopEval(_eval), popEval(loopEval), selectTransform(dummySelect, dummyTransform), breed(_breed), mergeReduce(_merge,_reduce), replace(mergeReduce),
fitnessEval(_fitnessEval), diversityEval(_diversityEval), evalFitAndDivBeforeSelection(_evalFitAndDivBeforeSelection)
{}
/**
* Ctor taking a select, a transform and a replacement.
* @param _continuator the stopping criteria
* @param _eval the evaluation functions
* @param _select the selection scheme
* @param _transform the tranformation scheme
* @param _replace the replacement strategy
* @param _fitnessEval the fitness evaluation scheme
* @param _diversityEval the diversity evaluation scheme
* @param _evalFitAndDivBeforeSelection put this parameter to 'true' if you want to re-evalue the fitness and the diversity of the population before the selection process
*/
moeoEasyEA(eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoSelect < MOEOT > & _select, eoTransform < MOEOT > & _transform, moeoReplacement < MOEOT > & _replace,
moeoFitnessAssignment < MOEOT > & _fitnessEval, moeoDiversityAssignment < MOEOT > & _diversityEval, bool _evalFitAndDivBeforeSelection = false)
:
continuator(_continuator), eval(_eval), loopEval(_eval), popEval(loopEval), selectTransform(_select, _transform), breed(selectTransform), mergeReduce(dummyMerge, dummyReduce), replace(_replace),
fitnessEval(_fitnessEval), diversityEval(_diversityEval), evalFitAndDivBeforeSelection(_evalFitAndDivBeforeSelection)
{}
/**
* Ctor taking a select, a transform, a merge and a reduce.
* @param _continuator the stopping criteria
* @param _eval the evaluation functions
* @param _select the selection scheme
* @param _transform the tranformation scheme
* @param _merge the merge scheme
* @param _reduce the reduce scheme
* @param _fitnessEval the fitness evaluation scheme
* @param _diversityEval the diversity evaluation scheme
* @param _evalFitAndDivBeforeSelection put this parameter to 'true' if you want to re-evalue the fitness and the diversity of the population before the selection process
*/
moeoEasyEA(eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoSelect < MOEOT > & _select, eoTransform < MOEOT > & _transform, eoMerge < MOEOT > & _merge, eoReduce< MOEOT > & _reduce,
moeoFitnessAssignment < MOEOT > & _fitnessEval, moeoDiversityAssignment < MOEOT > & _diversityEval, bool _evalFitAndDivBeforeSelection = false)
:
continuator(_continuator), eval(_eval), loopEval(_eval), popEval(loopEval), selectTransform(_select, _transform), breed(selectTransform), mergeReduce(_merge,_reduce), replace(mergeReduce),
fitnessEval(_fitnessEval), diversityEval(_diversityEval), evalFitAndDivBeforeSelection(_evalFitAndDivBeforeSelection)
{}
/**
* Applies a few generation of evolution to the population _pop.
* @param _pop the population
*/
virtual void operator()(eoPop < MOEOT > & _pop)
{
eoPop < MOEOT > offspring, empty_pop;
popEval(empty_pop, _pop); // A first eval of pop.
bool firstTime = true;
do
{
try
{
unsigned int pSize = _pop.size();
offspring.clear(); // new offspring
// fitness and diversity assignment (if you want to or if it is the first generation)
if (evalFitAndDivBeforeSelection || firstTime)
{
firstTime = false;
fitnessEval(_pop);
diversityEval(_pop);
}
breed(_pop, offspring);
popEval(_pop, offspring); // eval of parents + offspring if necessary
replace(_pop, offspring); // after replace, the new pop. is in _pop
if (pSize > _pop.size())
{
throw std::runtime_error("Population shrinking!");
}
else if (pSize < _pop.size())
{
throw std::runtime_error("Population growing!");
}
}
catch (std::exception& e)
{
std::string s = e.what();
s.append( " in moeoEasyEA");
throw std::runtime_error( s );
}
} while (continuator(_pop));
}
protected:
/** the stopping criteria */
eoContinue < MOEOT > & continuator;
/** the evaluation functions */
eoEvalFunc < MOEOT > & eval;
/** to evaluate the whole population */
eoPopLoopEval < MOEOT > loopEval;
/** to evaluate the whole population */
eoPopEvalFunc < MOEOT > & popEval;
/** breed: a select followed by a transform */
eoSelectTransform < MOEOT > selectTransform;
/** the breeder */
eoBreed < MOEOT > & breed;
/** replacement: a merge followed by a reduce */
eoMergeReduce < MOEOT > mergeReduce;
/** the replacment strategy */
moeoReplacement < MOEOT > & replace;
/** the fitness assignment strategy */
moeoFitnessAssignment < MOEOT > & fitnessEval;
/** the diversity assignment strategy */
moeoDiversityAssignment < MOEOT > & diversityEval;
/** if this parameter is set to 'true', the fitness and the diversity of the whole population will be re-evaluated before the selection process */
bool evalFitAndDivBeforeSelection;
/** a dummy eval */
class eoDummyEval : public eoEvalFunc < MOEOT >
{ public: /** the dummy functor */
void operator()(MOEOT &) {}} dummyEval;
/** a dummy select */
class eoDummySelect : public eoSelect < MOEOT >
{ public: /** the dummy functor */
void operator()(const eoPop < MOEOT > &, eoPop < MOEOT > &) {} } dummySelect;
/** a dummy transform */
class eoDummyTransform : public eoTransform < MOEOT >
{ public: /** the dummy functor */
void operator()(eoPop < MOEOT > &) {} } dummyTransform;
/** a dummy merge */
eoNoElitism < MOEOT > dummyMerge;
/** a dummy reduce */
eoTruncate < MOEOT > dummyReduce;
};
#endif /*MOEOEASYEA_H_*/

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// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
//-----------------------------------------------------------------------------
// moeoHybridLS.h
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
/*
This library...
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
*/
//-----------------------------------------------------------------------------
#ifndef MOEOHYBRIDLS_H_
#define MOEOHYBRIDLS_H_
#include <eoContinue.h>
#include <eoPop.h>
#include <eoSelect.h>
#include <utils/eoUpdater.h>
#include <algo/moeoLS.h>
#include <archive/moeoArchive.h>
/**
* This class allows to apply a multi-objective local search to a number of selected individuals contained in the archive
* at every generation until a stopping criteria is verified.
*/
template < class MOEOT >
class moeoHybridLS : public eoUpdater
{
public:
/**
* Ctor
* @param _term stopping criteria
* @param _select selector
* @param _mols a multi-objective local search
* @param _arch the archive
*/
moeoHybridLS (eoContinue < MOEOT > & _term, eoSelect < MOEOT > & _select, moeoLS < MOEOT, MOEOT > & _mols, moeoArchive < MOEOT > & _arch) :
term(_term), select(_select), mols(_mols), arch(_arch)
{}
/**
* Applies the multi-objective local search to selected individuals contained in the archive if the stopping criteria is not verified
*/
void operator () ()
{
if (! term (arch))
{
// selection of solutions
eoPop < MOEOT > selectedSolutions;
select(arch, selectedSolutions);
// apply the local search to every selected solution
for (unsigned int i=0; i<selectedSolutions.size(); i++)
{
mols(selectedSolutions[i], arch);
}
}
}
private:
/** stopping criteria */
eoContinue < MOEOT > & term;
/** selector */
eoSelect < MOEOT > & select;
/** multi-objective local search */
moeoLS < MOEOT, MOEOT > & mols;
/** archive */
moeoArchive < MOEOT > & arch;
};
#endif /*MOEOHYBRIDLS_H_*/

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// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
//-----------------------------------------------------------------------------
// moeoIBEA.h
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
/*
This library...
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
*/
//-----------------------------------------------------------------------------
#ifndef MOEOIBEA_H_
#define MOEOIBEA_H_
#include <eoBreed.h>
#include <eoContinue.h>
#include <eoEvalFunc.h>
#include <eoGenContinue.h>
#include <eoGeneralBreeder.h>
#include <eoGenOp.h>
#include <eoPopEvalFunc.h>
#include <eoSGAGenOp.h>
#include <algo/moeoEA.h>
#include <diversity/moeoDummyDiversityAssignment.h>
#include <fitness/moeoIndicatorBasedFitnessAssignment.h>
#include <metric/moeoNormalizedSolutionVsSolutionBinaryMetric.h>
#include <replacement/moeoEnvironmentalReplacement.h>
#include <selection/moeoDetTournamentSelect.h>
/**
* IBEA (Indicator-Based Evolutionary Algorithm) as described in:
* E. Zitzler, S. Künzli, "Indicator-Based Selection in Multiobjective Search", Proc. 8th International Conference on Parallel Problem Solving from Nature (PPSN VIII), pp. 832-842, Birmingham, UK (2004).
* This class builds the IBEA algorithm only by using the fine-grained components of the ParadisEO-MOEO framework.
*/
template < class MOEOT >
class moeoIBEA : public moeoEA < MOEOT >
{
public:
/** The type of objective vector */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/**
* Simple ctor with a eoGenOp.
* @param _maxGen number of generations before stopping
* @param _eval evaluation function
* @param _op variation operator
* @param _metric metric
* @param _kappa scaling factor kappa
*/
moeoIBEA (unsigned int _maxGen, eoEvalFunc < MOEOT > & _eval, eoGenOp < MOEOT > & _op, moeoNormalizedSolutionVsSolutionBinaryMetric < ObjectiveVector, double > & _metric, const double _kappa=0.05) :
defaultGenContinuator(_maxGen), continuator(defaultGenContinuator), popEval(_eval), select(2),
fitnessAssignment(_metric, _kappa), replace(fitnessAssignment, dummyDiversityAssignment), genBreed(select, _op), breed(genBreed)
{}
/**
* Simple ctor with a eoTransform.
* @param _maxGen number of generations before stopping
* @param _eval evaluation function
* @param _op variation operator
* @param _metric metric
* @param _kappa scaling factor kappa
*/
moeoIBEA (unsigned int _maxGen, eoEvalFunc < MOEOT > & _eval, eoTransform < MOEOT > & _op, moeoNormalizedSolutionVsSolutionBinaryMetric < ObjectiveVector, double > & _metric, const double _kappa=0.05) :
defaultGenContinuator(_maxGen), continuator(defaultGenContinuator), popEval(_eval), select(2),
fitnessAssignment(_metric, _kappa), replace(fitnessAssignment, dummyDiversityAssignment), genBreed(select, _op), breed(genBreed)
{}
/**
* Ctor with a crossover, a mutation and their corresponding rates.
* @param _maxGen number of generations before stopping
* @param _eval evaluation function
* @param _crossover crossover
* @param _pCross crossover probability
* @param _mutation mutation
* @param _pMut mutation probability
* @param _metric metric
* @param _kappa scaling factor kappa
*/
moeoIBEA (unsigned int _maxGen, eoEvalFunc < MOEOT > & _eval, eoQuadOp < MOEOT > & _crossover, double _pCross, eoMonOp < MOEOT > & _mutation, double _pMut, moeoNormalizedSolutionVsSolutionBinaryMetric < ObjectiveVector, double > & _metric, const double _kappa=0.05) :
defaultGenContinuator(_maxGen), continuator(defaultGenContinuator), popEval(_eval), select (2),
fitnessAssignment(_metric, _kappa), replace (fitnessAssignment, dummyDiversityAssignment), defaultSGAGenOp(_crossover, _pCross, _mutation, _pMut),
genBreed (select, defaultSGAGenOp), breed (genBreed)
{}
/**
* Ctor with a continuator (instead of _maxGen) and a eoGenOp.
* @param _continuator stopping criteria
* @param _eval evaluation function
* @param _op variation operator
* @param _metric metric
* @param _kappa scaling factor kappa
*/
moeoIBEA (eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoGenOp < MOEOT > & _op, moeoNormalizedSolutionVsSolutionBinaryMetric < ObjectiveVector, double > & _metric, const double _kappa=0.05) :
continuator(_continuator), popEval(_eval), select(2),
fitnessAssignment(_metric, _kappa), replace(fitnessAssignment, dummyDiversityAssignment), genBreed(select, _op), breed(genBreed)
{}
/**
* Ctor with a continuator (instead of _maxGen) and a eoTransform.
* @param _continuator stopping criteria
* @param _eval evaluation function
* @param _op variation operator
* @param _metric metric
* @param _kappa scaling factor kappa
*/
moeoIBEA (eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoTransform < MOEOT > & _op, moeoNormalizedSolutionVsSolutionBinaryMetric < ObjectiveVector, double > & _metric, const double _kappa=0.05) :
continuator(_continuator), popEval(_eval), select(2),
fitnessAssignment(_metric, _kappa), replace(fitnessAssignment, dummyDiversityAssignment), genBreed(select, _op), breed(genBreed)
{}
/**
* Apply a few generation of evolution to the population _pop until the stopping criteria is verified.
* @param _pop the population
*/
virtual void operator () (eoPop < MOEOT > &_pop)
{
eoPop < MOEOT > offspring, empty_pop;
popEval (empty_pop, _pop); // a first eval of _pop
// evaluate fitness and diversity
fitnessAssignment(_pop);
dummyDiversityAssignment(_pop);
do
{
// generate offspring, worths are recalculated if necessary
breed (_pop, offspring);
// eval of offspring
popEval (_pop, offspring);
// after replace, the new pop is in _pop. Worths are recalculated if necessary
replace (_pop, offspring);
} while (continuator (_pop));
}
protected:
/** a continuator based on the number of generations (used as default) */
eoGenContinue < MOEOT > defaultGenContinuator;
/** stopping criteria */
eoContinue < MOEOT > & continuator;
/** evaluation function used to evaluate the whole population */
eoPopLoopEval < MOEOT > popEval;
/** binary tournament selection */
moeoDetTournamentSelect < MOEOT > select;
/** fitness assignment used in IBEA */
moeoIndicatorBasedFitnessAssignment < MOEOT > fitnessAssignment;
/** dummy diversity assignment */
moeoDummyDiversityAssignment < MOEOT > dummyDiversityAssignment;
/** elitist replacement */
moeoEnvironmentalReplacement < MOEOT > replace;
/** an object for genetic operators (used as default) */
eoSGAGenOp < MOEOT > defaultSGAGenOp;
/** general breeder */
eoGeneralBreeder < MOEOT > genBreed;
/** breeder */
eoBreed < MOEOT > & breed;
};
#endif /*MOEOIBEA_H_*/

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// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
//-----------------------------------------------------------------------------
// moeoIBMOLS.h
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
/*
This library...
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
*/
//-----------------------------------------------------------------------------
#ifndef MOEOIBMOLS_H_
#define MOEOIBMOLS_H_
#include <eoContinue.h>
#include <eoEvalFunc.h>
#include <eoPop.h>
#include <moMove.h>
#include <moMoveInit.h>
#include <moNextMove.h>
#include <algo/moeoLS.h>
#include <archive/moeoArchive.h>
#include <fitness/moeoIndicatorBasedFitnessAssignment.h>
#include <move/moeoMoveIncrEval.h>
/**
* Indicator-Based Multi-Objective Local Search (IBMOLS) as described in
* Basseur M., Burke K. : "Indicator-Based Multi-Objective Local Search" (2007).
*/
template < class MOEOT, class Move >
class moeoIBMOLS : public moeoLS < MOEOT, eoPop < MOEOT > & >
{
public:
/** The type of objective vector */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/**
* Ctor.
* @param _moveInit the move initializer
* @param _nextMove the neighborhood explorer
* @param _eval the full evaluation
* @param _moveIncrEval the incremental evaluation
* @param _fitnessAssignment the fitness assignment strategy
* @param _continuator the stopping criteria
*/
moeoIBMOLS(
moMoveInit < Move > & _moveInit,
moNextMove < Move > & _nextMove,
eoEvalFunc < MOEOT > & _eval,
moeoMoveIncrEval < Move > & _moveIncrEval,
moeoIndicatorBasedFitnessAssignment < MOEOT > & _fitnessAssignment,
eoContinue < MOEOT > & _continuator
) :
moveInit(_moveInit),
nextMove(_nextMove),
eval(_eval),
moveIncrEval(_moveIncrEval),
fitnessAssignment (_fitnessAssignment),
continuator (_continuator)
{}
/**
* Apply the local search until a local archive does not change or
* another stopping criteria is met and update the archive _arch with new non-dominated solutions.
* @param _pop the initial population
* @param _arch the (updated) archive
*/
void operator() (eoPop < MOEOT > & _pop, moeoArchive < MOEOT > & _arch)
{
// evaluation of the objective values
/*
for (unsigned int i=0; i<_pop.size(); i++)
{
eval(_pop[i]);
}
*/
// fitness assignment for the whole population
fitnessAssignment(_pop);
// creation of a local archive
moeoArchive < MOEOT > archive;
// creation of another local archive (for the stopping criteria)
moeoArchive < MOEOT > previousArchive;
// update the archive with the initial population
archive.update(_pop);
do
{
previousArchive.update(archive);
oneStep(_pop);
archive.update(_pop);
} while ( (! archive.equals(previousArchive)) && (continuator(_arch)) );
_arch.update(archive);
}
private:
/** the move initializer */
moMoveInit < Move > & moveInit;
/** the neighborhood explorer */
moNextMove < Move > & nextMove;
/** the full evaluation */
eoEvalFunc < MOEOT > & eval;
/** the incremental evaluation */
moeoMoveIncrEval < Move > & moveIncrEval;
/** the fitness assignment strategy */
moeoIndicatorBasedFitnessAssignment < MOEOT > & fitnessAssignment;
/** the stopping criteria */
eoContinue < MOEOT > & continuator;
/**
* Apply one step of the local search to the population _pop
* @param _pop the population
*/
void oneStep (eoPop < MOEOT > & _pop)
{
////////////////////////////////////////////
int ext_0_idx, ext_1_idx;
ObjectiveVector ext_0_objVec, ext_1_objVec;
///////////////////////////////////////////
// the move
Move move;
// the objective vector and the fitness of the current solution
ObjectiveVector x_objVec;
double x_fitness;
// the index, the objective vector and the fitness of the worst solution in the population (-1 implies that the worst is the newly created one)
int worst_idx;
ObjectiveVector worst_objVec;
double worst_fitness;
// the index current of the current solution to be explored
unsigned int i=0;
// initilization of the move for the first individual
moveInit(move, _pop[i]);
while (i<_pop.size() && continuator(_pop))
{
// x = one neigbour of pop[i]
// evaluate x in the objective space
x_objVec = moveIncrEval(move, _pop[i]);
// update every fitness values to take x into account and compute the fitness of x
x_fitness = fitnessAssignment.updateByAdding(_pop, x_objVec);
////////////////////////////////////////////////////////////////////////////////////////////////////////////
////////////////////////////////////////////////////////////////////////////////////////////////////////////
////////////////////////////////////////////////////////////////////////////////////////////////////////////
// qui sont les extremes ? (=> min only !!!)
ext_0_idx = -1;
ext_0_objVec = x_objVec;
ext_1_idx = -1;
ext_1_objVec = x_objVec;
for (unsigned int k=0; k<_pop.size(); k++)
{
// ext_0
if (_pop[k].objectiveVector()[0] < ext_0_objVec[0])
{
ext_0_idx = k;
ext_0_objVec = _pop[k].objectiveVector();
}
else if ( (_pop[k].objectiveVector()[0] == ext_0_objVec[0]) && (_pop[k].objectiveVector()[1] < ext_0_objVec[1]) )
{
ext_0_idx = k;
ext_0_objVec = _pop[k].objectiveVector();
}
// ext_1
else if (_pop[k].objectiveVector()[1] < ext_1_objVec[1])
{
ext_1_idx = k;
ext_1_objVec = _pop[k].objectiveVector();
}
else if ( (_pop[k].objectiveVector()[1] == ext_1_objVec[1]) && (_pop[k].objectiveVector()[0] < ext_1_objVec[0]) )
{
ext_1_idx = k;
ext_1_objVec = _pop[k].objectiveVector();
}
}
// worst init
if (ext_0_idx == -1)
{
unsigned int ind = 0;
while (ind == ext_1_idx)
{
ind++;
}
worst_idx = ind;
worst_objVec = _pop[ind].objectiveVector();
worst_fitness = _pop[ind].fitness();
}
else if (ext_1_idx == -1)
{
unsigned int ind = 0;
while (ind == ext_0_idx)
{
ind++;
}
worst_idx = ind;
worst_objVec = _pop[ind].objectiveVector();
worst_fitness = _pop[ind].fitness();
}
else
{
worst_idx = -1;
worst_objVec = x_objVec;
worst_fitness = x_fitness;
}
////////////////////////////////////////////////////////////////////////////////////////////////////////////
////////////////////////////////////////////////////////////////////////////////////////////////////////////
////////////////////////////////////////////////////////////////////////////////////////////////////////////
// who is the worst ?
for (unsigned int j=0; j<_pop.size(); j++)
{
if ( (j!=ext_0_idx) && (j!=ext_1_idx) )
{
if (_pop[j].fitness() < worst_fitness)
{
worst_idx = j;
worst_objVec = _pop[j].objectiveVector();
worst_fitness = _pop[j].fitness();
}
}
}
// if the worst solution is the new one
if (worst_idx == -1)
{
// if all its neighbours have been explored,
// let's explore the neighborhoud of the next individual
if (! nextMove(move, _pop[i]))
{
i++;
if (i<_pop.size())
{
// initilization of the move for the next individual
moveInit(move, _pop[i]);
}
}
}
// if the worst solution is located before _pop[i]
else if (worst_idx <= i)
{
// the new solution takes place insteed of _pop[worst_idx]
_pop[worst_idx] = _pop[i];
move(_pop[worst_idx]);
_pop[worst_idx].objectiveVector(x_objVec);
_pop[worst_idx].fitness(x_fitness);
// let's explore the neighborhoud of the next individual
i++;
if (i<_pop.size())
{
// initilization of the move for the next individual
moveInit(move, _pop[i]);
}
}
// if the worst solution is located after _pop[i]
else if (worst_idx > i)
{
// the new solution takes place insteed of _pop[i+1] and _pop[worst_idx] is deleted
_pop[worst_idx] = _pop[i+1];
_pop[i+1] = _pop[i];
move(_pop[i+1]);
_pop[i+1].objectiveVector(x_objVec);
_pop[i+1].fitness(x_fitness);
// let's explore the neighborhoud of the individual _pop[i+2]
i += 2;
if (i<_pop.size())
{
// initilization of the move for the next individual
moveInit(move, _pop[i]);
}
}
// update fitness values
fitnessAssignment.updateByDeleting(_pop, worst_objVec);
}
}
};
#endif /*MOEOIBMOLS_H_*/

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// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
//-----------------------------------------------------------------------------
// moeoIteratedIBMOLS.h
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
/*
This library...
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
*/
//-----------------------------------------------------------------------------
#ifndef MOEOITERATEDIBMOLS_H_
#define MOEOITERATEDIBMOLS_H_
#include <eoContinue.h>
#include <eoEvalFunc.h>
#include <eoOp.h>
#include <eoPop.h>
#include <utils/rnd_generators.h>
#include <moMove.h>
#include <moMoveInit.h>
#include <moNextMove.h>
#include <algo/moeoIBMOLS.h>
#include <algo/moeoLS.h>
#include <archive/moeoArchive.h>
#include <fitness/moeoIndicatorBasedFitnessAssignment.h>
#include <move/moeoMoveIncrEval.h>
//#include <rsCrossQuad.h>
/**
* Iterated version of IBMOLS as described in
* Basseur M., Burke K. : "Indicator-Based Multi-Objective Local Search" (2007).
*/
template < class MOEOT, class Move >
class moeoIteratedIBMOLS : public moeoLS < MOEOT, eoPop < MOEOT > & >
{
public:
/** The type of objective vector */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/**
* Ctor.
* @param _moveInit the move initializer
* @param _nextMove the neighborhood explorer
* @param _eval the full evaluation
* @param _moveIncrEval the incremental evaluation
* @param _fitnessAssignment the fitness assignment strategy
* @param _continuator the stopping criteria
* @param _monOp the monary operator
* @param _randomMonOp the random monary operator (or random initializer)
* @param _nNoiseIterations the number of iterations to apply the random noise
*/
moeoIteratedIBMOLS(
moMoveInit < Move > & _moveInit,
moNextMove < Move > & _nextMove,
eoEvalFunc < MOEOT > & _eval,
moeoMoveIncrEval < Move > & _moveIncrEval,
moeoIndicatorBasedFitnessAssignment < MOEOT > & _fitnessAssignment,
eoContinue < MOEOT > & _continuator,
eoMonOp < MOEOT > & _monOp,
eoMonOp < MOEOT > & _randomMonOp,
unsigned int _nNoiseIterations=1
) :
ibmols(_moveInit, _nextMove, _eval, _moveIncrEval, _fitnessAssignment, _continuator),
eval(_eval),
continuator(_continuator),
monOp(_monOp),
randomMonOp(_randomMonOp),
nNoiseIterations(_nNoiseIterations)
{}
/**
* Apply the local search iteratively until the stopping criteria is met.
* @param _pop the initial population
* @param _arch the (updated) archive
*/
void operator() (eoPop < MOEOT > & _pop, moeoArchive < MOEOT > & _arch)
{
_arch.update(_pop);
ibmols(_pop, _arch);
while (continuator(_arch))
{
// generate new solutions from the archive
generateNewSolutions(_pop, _arch);
// apply the local search (the global archive is updated in the sub-function)
ibmols(_pop, _arch);
}
}
private:
/** the local search to iterate */
moeoIBMOLS < MOEOT, Move > ibmols;
/** the full evaluation */
eoEvalFunc < MOEOT > & eval;
/** the stopping criteria */
eoContinue < MOEOT > & continuator;
/** the monary operator */
eoMonOp < MOEOT > & monOp;
/** the random monary operator (or random initializer) */
eoMonOp < MOEOT > & randomMonOp;
/** the number of iterations to apply the random noise */
unsigned int nNoiseIterations;
/**
* Creates new population randomly initialized and/or initialized from the archive _arch.
* @param _pop the output population
* @param _arch the archive
*/
void generateNewSolutions(eoPop < MOEOT > & _pop, const moeoArchive < MOEOT > & _arch)
{
// shuffle vector for the random selection of individuals
vector<unsigned int> shuffle;
shuffle.resize(std::max(_pop.size(), _arch.size()));
// init shuffle
for (unsigned int i=0; i<shuffle.size(); i++)
{
shuffle[i] = i;
}
// randomize shuffle
UF_random_generator <unsigned int int> gen;
std::random_shuffle(shuffle.begin(), shuffle.end(), gen);
// start the creation of new solutions
for (unsigned int i=0; i<_pop.size(); i++)
{
if (shuffle[i] < _arch.size())
// the given archive contains the individual i
{
// add it to the resulting pop
_pop[i] = _arch[shuffle[i]];
// then, apply the operator nIterationsNoise times
for (unsigned int j=0; j<nNoiseIterations; j++)
{
monOp(_pop[i]);
}
}
else
// a randomly generated solution needs to be added
{
// random initialization
randomMonOp(_pop[i]);
}
// evaluation of the new individual
_pop[i].invalidate();
eval(_pop[i]);
}
}
///////////////////////////////////////////////////////////////////////////////////////////////////////
// A DEVELOPPER RAPIDEMENT POUR TESTER AVEC CROSSOVER //
/*
void generateNewSolutions2(eoPop < MOEOT > & _pop, const moeoArchive < MOEOT > & _arch)
{
// here, we must have a QuadOp !
//eoQuadOp < MOEOT > quadOp;
rsCrossQuad quadOp;
// shuffle vector for the random selection of individuals
vector<unsigned int> shuffle;
shuffle.resize(_arch.size());
// init shuffle
for (unsigned int i=0; i<shuffle.size(); i++)
{
shuffle[i] = i;
}
// randomize shuffle
UF_random_generator <unsigned int int> gen;
std::random_shuffle(shuffle.begin(), shuffle.end(), gen);
// start the creation of new solutions
unsigned int i=0;
while ((i<_pop.size()-1) && (i<_arch.size()-1))
{
_pop[i] = _arch[shuffle[i]];
_pop[i+1] = _arch[shuffle[i+1]];
// then, apply the operator nIterationsNoise times
for (unsigned int j=0; j<nNoiseIterations; j++)
{
quadOp(_pop[i], _pop[i+1]);
}
eval(_pop[i]);
eval(_pop[i+1]);
i=i+2;
}
// do we have to add some random solutions ?
while (i<_pop.size())
{
randomMonOp(_pop[i]);
eval(_pop[i]);
i++;
}
}
*/
///////////////////////////////////////////////////////////////////////////////////////////////////////
};
#endif /*MOEOITERATEDIBMOLS_H_*/

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// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
//-----------------------------------------------------------------------------
// moeoLS.h
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
/*
This library...
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
*/
//-----------------------------------------------------------------------------
#ifndef MOEOLS_H_
#define MOEOLS_H_
#include <eoFunctor.h>
#include <algo/moeoAlgo.h>
#include <archive/moeoArchive.h>
/**
* Abstract class for local searches applied to multi-objective optimization.
* Starting from a Type (i.e.: an individual, a pop, an archive...), it produces a set of new non-dominated solutions.
*/
template < class MOEOT, class Type >
class moeoLS: public moeoAlgo, public eoBF < Type, moeoArchive < MOEOT > &, void > {};
#endif /*MOEOLS_H_*/

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