A Note on Particle Swarm Optimization: An integrated and theoretical approach

Chao-Wei Chou, Hsin-Hui Lin, Jiann-Horng Lin
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引用次数: 3

Abstract

In this paper, a general and integrated form is proposed for the different kinds of particle swarm optimization. Also, some related theoretical results are given, including a convergence theorem for the random selection case and a lemma on probability percentile. To compare different PSO algorithms in effectiveness and efficiency, we propose three comparison indexes of universal standard.
粒子群优化:一种综合的理论方法
本文针对不同类型的粒子群优化问题,提出了一种通用的综合形式。并给出了一些相关的理论结果,包括随机选择情况下的收敛定理和概率百分位数的引理。为了比较不同粒子群算法的有效性和效率,我们提出了三个通用标准的比较指标。
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