均匀设计优化粒子群优化器策略参数

2016 International Conference on System Science and Engineering (ICSSE) Pub Date : 2016-08-25 DOI:10.1109/ICSSE.2016.7551637

S. Lu, J. Chou

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引用次数: 1

摘要

在现代科学中，粒子群优化算法(PSO)是一种受自然启发的算法，可用于寻找复杂问题的最优解。但是，如何有效地找到粒子群算法中的参数是一个值得研究的问题。本文采用均匀设计方法求解粒子群的最优参数。最后，通过算例验证了该方法的有效性。

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Optimal strategy parameters for particle swarm optimizer via the uniform design

In modern science, particle swarm optimizer (PSO), a nature-inspired algorithm, can be applied to find the optimal solutions for the complex problems. But, how to effectively find the parameters in the PSO is a worthy studying problem. In this paper, the uniform design approach is applied to finding optimal parameters of the PSO. Finally, the effectiveness of the proposed method is illustrated by example.

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2016 International Conference on System Science and Engineering (ICSSE)

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