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Parallel asynchronous particle swarm optimization

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 ex...

詳細記述

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書誌詳細
主要な著者: Koh, Byung-Il, George, Alan D., Haftka, Raphael T., Fregly, Benjamin J.
フォーマット: Artigo
言語:Inglês
出版事項: 2006
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC1769316/
https://ncbi.nlm.nih.gov/pubmed/17224972
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/nme.1646
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