粒子群分布算法的估计:融合粒子群算法和eda算法的优点

Proceedings of the 11th Annual conference on Genetic and evolutionary computation Pub Date : 2009-07-08 DOI:10.1145/1569901.1570178

C. Ahn, Hyun-Tae Kim

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引用次数: 5

摘要

提出了一种粒子群分布算法(EPSDAs)估计框架。其目的在于将粒子群算法与分布估计算法有效地结合起来，同时又不失其各自的特点。为了证明该算法的实用性，在此基础上提出了一种扩展的紧凑粒子群优化算法。实证结果为其有效性提供了依据。

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Estimation of particle swarm distribution algorithms: bringing together the strengths of PSO and EDAs

This paper presents a framework of estimation of particle swarm distribution algorithms (EPSDAs). The aim lies in effectively combining particle swarm optimization (PSO) with estimation of distribution algorithms (EDAs) without losing on their unique features. To exhibit its practicability, an extended compact particle swarm optimization (EcPSO) is developed along the lines of the suggested framework. Empirical results have adduced grounds for its effectiveness.

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Proceedings of the 11th Annual conference on Genetic and evolutionary computation

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