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Building with ParadisEO reusable parallel and distributed evolutionary algorithms

parallel COMPUTING 2004年第5-6期30卷 677-697页

作者： Cahon, S Melab, N Talbi, EG Univ Sci & Tech Lille Flandres Artois CNRS UMR 8022 Lab Informat Fondamentale Lille F-59655 Villeneuve Dascq France

Numerous parallel and distributed evolutionary algorithms (PDEAs) and their implementations have been proposed and are available on the Web. A robust approach to make easier their code and design reuse is the framework approach. In this paper, we present some existing frameworks for PDEAs and their development requirements, and propose a new C++ open source framework, named parallel and distributed Evolving Objects (ParadisEO). ParadisEO is basically devoted to the reusable and flexible design of parallel and distributed metaheuristics, but we focus here only on PDEAs. Compared to other related frameworks, ParadisEO allows more reuse flexibility, and provides more implemented parallel and distributed models. Furthermore, these models can be exploited by the user in a transparent way, and deployed as well on shared memory multi-processors as on distributed memory machines. The architecture has been experimented on two real-world applications: the radio network design and the spectroscopic data mining. The experimental results demonstrate the efficiency and robustness of the different models. (C) 2004 Elsevier B.V. All rights reserved.

关键词： evolutionary algorithms design and code reuse parallel and distributed models frameworks performance and robustness

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ParadisEO: A framework for the reusable design of parallel and distributed metaheuristics

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JOURNAL OF HEURISTICS 2004年第3期10卷 357-380页

作者： Cahon, S Melab, N Talbi, EG Lab Informat Fondamentale Lille CNRS UMR 8022 F-59655 Villeneuve Dascq France

In this paper, we present the ParadisEO white-box object-oriented framework dedicated to the reusable design of parallel and distributed metaheuristics (PDM). ParadisEO provides a broad range of features including evolutionary algorithms (EA), local searches (LS), the most common parallel and distributed models and hybridization mechanisms, etc. This high content and utility encourages its use at European level. ParadisEO is based on a clear conceptual separation of the solution methods from the problems they are intended to solve. This separation confers to the user a maximum code and design reuse. Furthermore, the fine-grained nature of the classes provided by the framework allow a higher flexibility compared to other frameworks. ParadisEO is of the rare frameworks that provide the most common parallel and distributed models. Their implementation is portable on distributed-memory machines as well as on shared-memory multiprocessors, as it uses standard libraries such as MPI, PVM and PThreads. The models can be exploited in a transparent way, one has just to instantiate their associated provided classes. Their experimentation on the radio network design real-world application demonstrate their efficiency.

关键词： metaheuristics design and code reuse parallel and distributed models object-oriented frameworks performance and robustness

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