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Merge branch 'master' of ssh://eodev/gitroot/eodev/eodev

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This commit is contained in:
Johann Dreo 2011-01-04 10:42:20 +01:00
commit df57a10d5f
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2
eo/Packaging.cmake
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@ -67,7 +67,7 @@ SET(CPACK_PACKAGE_INSTALL_DIRECTORY "${PROJECT_NAME} ${PROJECT_VERSION_MAJOR}.${
### 4) Set up debian packaging information
######################################################################################
SET(CPACK_DEBIAN_PACKAGE_DEPENDS "libstdc++6, libgcc1, libc6, libxml2, libmpich2-1.2")
SET(CPACK_DEBIAN_PACKAGE_DEPENDS "libstdc++6, libgcc1, libc6, g++")
SET(CPACK_DEBIAN_PACKAGE_SECTION "devel")
SET(CPACK_DEBIAN_PACKAGE_PRIORITY "optional")

10
eo/doc/index.h
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@ -43,17 +43,17 @@ massively use templates, so that you will not be limited by interfaces
when using your own representation.
Once you have a representation, you will build your own evolutionary algorithm
by assembling @ref Operators in @ref Algorithms.
by assembling @ref Operators in @ref Algorithms.
In %EO, most of the objects are functors, that is classes with an operator(), that you
can call just as if they were classical functions. For example, an algorithm is a
functor, that manipulate a population of individuals, it will be implemented as a functor,
can call just as if they were classical functions. For example, an algorithm is a
functor, that manipulate a population of individuals, it will be implemented as a functor,
with a member like: operator()(eoPop<EOT>). Once called on a given population, it will
search for the optimum of a given problem.
Generally, operators are instanciated once and then binded in an algorithm by reference.
Thus, you can easily build you own algorithm by trying several combination of operators.
Thus, you can easily build your own algorithm by trying several combination of operators.
For an more detailled introduction to the design of %EO you can look at the
For a more detailled introduction to the design of %EO you can look at the
slides from a talk at EA 2001 or at the corresponding
article in Lecture Notes In Computer Science, 2310, Selected Papers from the 5th European Conference on Artificial Evolution:
- http://portal.acm.org/citation.cfm?id=727742