diff --git a/tags/paradiseo1.2/paradiseo-moeo/doc/index.h b/tags/paradiseo1.2/paradiseo-moeo/doc/index.h index 7d66328c1..086d7f302 100644 --- a/tags/paradiseo1.2/paradiseo-moeo/doc/index.h +++ b/tags/paradiseo1.2/paradiseo-moeo/doc/index.h @@ -2,30 +2,31 @@ @section 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. +ParadisEO-MOEO is a white-box object-oriented software framework dedicated to the flexible design of metaheuristics for multi-objective optimization. +This paradigm-free software proposes a unified view for all evolutionary multi-objective metaheuristics. +It embeds some features and techniques for multi-objective 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 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. - +This general-purpose framework provides a broad range of fitness assignment strategies, the most common diversity preservation mechanisms, +some elitist-related features as well as statistical tools. +Furthermore, a number of state-of-the-art search methods, including NSGA-II, SPEA2 and IBEA, have been implemented in a user-friendly way, +based on the fine-grained ParadisEO-MOEO components. +@section Authors +Arnaud Liefooghe +Jérémie Humeau +Sébastien Cahon +Thomas Legrand @section tutorials Tutorials -Tutorials for ParadisEO-MOEO are available here. +Tutorials for ParadisEO-MOEO are available here. @section Installation -The installation procedure of the package is detailed in the README file in the top-directory of the source-tree. - - @section Design