Parallel global optimization with the particle swarm algorithm
نویسندگان
چکیده
منابع مشابه
Parallel global optimization with the particle swarm algorithm.
Present day engineering optimization problems often impose large computational demands, resulting in long solution times even on a modern high-end processor. To obtain enhanced computational throughput and global search capability, we detail the coarse-grained parallelization of an increasingly popular global search method, the particle swarm optimization (PSO) algorithm. Parallel PSO performan...
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The high computational cost of complex engineering optimization problems has motivated the development of parallel optimization algorithms. A recent example is the parallel particle swarm optimization (PSO) algorithm, which is valuable due to its global search capabilities. Unfortunately, because existing parallel implementations are synchronous (PSPSO), they do not make efficient use of comput...
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ژورنال
عنوان ژورنال: International Journal for Numerical Methods in Engineering
سال: 2004
ISSN: 0029-5981,1097-0207
DOI: 10.1002/nme.1149