A Constrained Particle Swarm Optimization Algorithm with Oracle Penalty Method

摘要:

文章预览

To solve constrained optimization problems, an Oracle penalty method-based comprehensive learning particle swarm optimization (OBCLPSO) algorithm was proposed. First, original Oracle penalty was modified. Secondly, the modified Oracle penalty method was combine with comprehensive learning particle swarm optimization algorithm. Finally, experimental results and comparisons were given to demonstrate the optimization performances of OBCLPSO. The results show that the proposed algorithm is a very competitive approach for constrained optimization problems.

信息:

期刊:

编辑:

Yun-Hae Kim and Prasad Yarlagadda

页数:

1519-1523

引用:

M. G. Dong et al., "A Constrained Particle Swarm Optimization Algorithm with Oracle Penalty Method", Applied Mechanics and Materials, Vols. 303-306, pp. 1519-1523, 2013

上线时间:

February 2013

输出:

价格:

$38.00

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