|
|
チョウ ゼンシュン
Zhang Shanjun 張 善俊 所属 神奈川大学 情報学部 計算機科学科 神奈川大学大学院 理学研究科 理学専攻(情報科学領域) 職種 教授 |
|
言語種別 | 日本語 |
発行・発表の年月 | 2009/11 |
形態種別 | その他 |
査読 | 査読あり |
標題 | Paralleling Genetic Annealing Algorithm with OpenMP |
執筆形態 | 共著 |
掲載誌名 | IEEE Computer Society Conference Publications |
巻・号・頁 | 2009 Second International Conference on Intelligent Networks and Intelligent Systems,681-684頁 |
著者・共著者 | Hongbing Zhu, Sicheng Chen, Chengdong Pu, Yu Liu, Kei Eguchi, and Shanjun Zhang |
概要 | In this paper, a parallel Genetic Annealing Algorithm (GAA) combining with simulated annealing algorithm and genetic algorithms was proposed, which was implemented using distributed computing model that employed OpenMP on four core computer. In this algorithm, several sub-populations replaced the original single population, and each sub-population evolved independently, and the current best individual was distributed into all the sub-populations. The algorithm overcame premature convergence, and found global optima efficiently in less time. And the experiment results shown that the performance had been significantly improved. |