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ParaDisEO-based design of parallel and distributed evolutionary algorithms. (English) Zbl 1098.68644
Liardet, Pierre (ed.) et al., Artificial evolution. 6th international conference, evolution artificielle, EA 2003, Marseille, France, October 27–30, 2003. Revised selected papers. Berlin: Springer (ISBN 3-540-21523-9/pbk). Lecture Notes in Computer Science 2936, 216-228 (2004).
Summary: ParaDisEO is a framework dedicated to the design of parallel and distributed metaheuristics including local search methods and evolutionary algorithms. This paper focuses on the latter aspect. We present the three parallel and distributed models implemented in ParaDisEO and show how these can be exploited in a user-friendly, flexible and transparent way. These models can be deployed on distributed memory machines as well as on shared memory multi-processors, taking advantage of the shared memory in the latter case. In addition, we illustrate the instantiation of the models through two applications demonstrating the efficiency and robustness of the framework.
For the entire collection see [Zbl 1048.68007].

68T05 Learning and adaptive systems in artificial intelligence
ParaDisEO; EOlib; MALLBA
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