RC

git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@2710 331e1502-861f-0410-8da2-ba01fb791d7f

branches/rc2.0/eo/src/eoAlgo.h

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+// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
+
+//-----------------------------------------------------------------------------
+// eoAlgo.h
+// (c) GeNeura Team, 1998
+/*
+    This library is free software; you can redistribute it and/or
+    modify it under the terms of the GNU Lesser General Public
+    License as published by the Free Software Foundation; either
+    version 2 of the License, or (at your option) any later version.
+
+    This library is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
+    Lesser General Public License for more details.
+
+    You should have received a copy of the GNU Lesser General Public
+    License along with this library; if not, write to the Free Software
+    Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
+
+    Contact: todos@geneura.ugr.es, http://geneura.ugr.es
+ */
+//-----------------------------------------------------------------------------
+
+#ifndef _EOALGO_H
+#define _EOALGO_H
+
+#include <eoPop.h>                   // for population
+#include <eoFunctor.h>
+
+/**
+  @defgroup Algorithms Algorithms
+
+  In EO, an algorithm is a functor that takes one or several solutions to an optimization 
+  problem as arguments, and iteratively modify them with the help of operators.
+
+  Generally, an EO object is built by assembling together @ref Operators in an algorithm instance,
+  and then calling the algorithm's operator() on an initial population (an eoPop). The algorithm will then
+  manipulate the solutions within the population to search for the problem's optimum.
+*/
+
+/**
+    This is the base class for population-transforming algorithms. There
+    is only one operator defined, which takes a population and does stuff to
+    it. It needn't be a complete algorithm, can be also a step of an
+    algorithm. This class just gives a common interface to linear
+    population-transforming algorithms.
+
+    @ingroup Algorithms
+*/
+template< class EOT >
+class eoAlgo : public eoUF<eoPop<EOT>&, void>
+{};
+
+
+#endif