in the doc's main page: brief section first with a link to the modules list
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/** @mainpage Welcome to Evolving Objects
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/** @mainpage Welcome to Evolving Objects
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@section shortcuts In one word
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The best place to learn about the features and approaches of %EO with the help of examples is to look at
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the <a href="../../tutorial/html/eoTutorial.html">tutorial</a>.
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Once you have understand the @ref design of %EO, you could search for advanced features by browsing the <a
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href="modules.html">modules</a> page.
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@section intro Introduction
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@section intro Introduction
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%EO is a template-based, ANSI-C++ evolutionary computation library which helps you to write your own stochastic optimization algorithms insanely fast.
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%EO is a template-based, ANSI-C++ evolutionary computation library which helps you to write your own stochastic optimization algorithms insanely fast.
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@ -16,11 +25,6 @@ If you have a classical problem for which available code exists (for example if
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If your problem is a bit more exotic, you will have to code a class that represents how your individuals (a solution to your problem) are represented, and perhaps some variations operators, but most of the other operators (selection, replacement, stopping criteria, command-line interface, etc.) are already available in %EO.
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If your problem is a bit more exotic, you will have to code a class that represents how your individuals (a solution to your problem) are represented, and perhaps some variations operators, but most of the other operators (selection, replacement, stopping criteria, command-line interface, etc.) are already available in %EO.
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@section tutorial Tutorial
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The best place to learn about the features and approaches of %EO is to look at
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the <a href="../../tutorial/html/eoTutorial.html">tutorial</a>.
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@section design Overall Design
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@section design Overall Design
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