具有空间粒子扩展的粒子群优化

Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600) Pub Date : 2002-05-12 DOI:10.1109/CEC.2002.1004460

T. Krink, J. Vesterstrom, J. Riget

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引用次数: 316

摘要

为了克服迭代优化中的早熟收敛问题，本文在粒子群模型中引入粒子空间扩展。比较了标准粒子群和新模型(SEPSO)在充分研究的基准问题上的w.r.t.性能。我们表明，SEPSO确实设法保持了搜索空间的多样性，并产生了更好的结果。

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Particle swarm optimisation with spatial particle extension

In this paper, we introduce spatial extension to particles in the PSO model in order to overcome premature convergence in iterative optimisation. The standard PSO and the new model (SEPSO) are compared w.r.t. performance on well-studied benchmark problems. We show that the SEPSO indeed managed to keep diversity in the search space and yielded superior results.

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Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600)

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