文章基本信息

标题：Improved Quantum-Behaved Particle Swarm Optimization
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作者：Jianping Li
期刊名称：Open Journal of Applied Sciences
印刷版ISSN：2165-3917
电子版ISSN：2165-3925
出版年度：2015
卷号：05
期号：06
页码：240-250
DOI：10.4236/ojapps.2015.56025
语种：English
出版社：Scientific Research Publishing
摘要：To enhance the performance of quantum-behaved PSO, some improvements are proposed. First, an encoding method based on the Bloch sphere is presented. In this method, each particle carries three groups of Bloch coordinates of qubits, and these coordinates are actually the approximate solutions. The particles are updated by rotating qubits about an axis on the Bloch sphere, which can simultaneously adjust two parameters of qubits, and can automatically achieve the best matching of two adjustments. The optimization process is employed in the n-dimensional space [-1, 1]n, so this approach fits to many optimization problems. The experimental results show that this algorithm is superior to the original quantum-behaved PSO.
关键词：Swarm Intelligence; Particle Swarm Optimization; Quantum Potential Well; Encoding Method