2005 | OriginalPaper | Chapter
A Taxonomy of Cooperative Search Algorithms
Authors : Mohammed El-Abd, Mohamed Kamel
Published in: Hybrid Metaheuristics
Publisher: Springer Berlin Heidelberg
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A lot of heuristic approaches have been explored in the last two decades in order to tackle large size optimization problems. These areas include parallel meta-heuristics, hybrid meta-heuristic, and cooperative search algorithms. Different taxonomies have been proposed in the literature for parallel and hybrid meta-heuristics. In these taxonomies, one can realize that cooperative search algorithms lie somewhere in between. This paper looks at cooperative search algorithms as a stand alone area. Two different taxonomies of cooperative search algorithm are proposed based on two different criteria. Different implementations in this area are reported and classified using these taxonomies.