Abstract:In this paper we present a concurrent implementation of coevolutionary genetic algorith m (GA ) designed for shared memo ry architectures such as multi-core processor platforms. Our algorith m div ides the chromosome among the processes, and not the population as it is the case for most parallel imp lementations of the GA. This approach results in a division of the problem to be solved by the GA into sub-problems. We analyze the influence on performance and speedup of several parameters defining the algorith m… Show more
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