计算机工程与应用2011，Vol.47Issue(23)：57-60,4.DOI:10.3778/j.issn.1002-8331.2011.23.017
一种基于相位编码的自适应量子粒子群算法
Adaptive quantum particle swarm algorithm based on phase encoding
摘要
Abstract
To improve the performance of particle swarm optimization,an adaptive quantum particle swarm optimization algorithm is proposed.In proposed algorithm,the position of particles is described by the phase of quantum bits,and the position mutation of particles is achieved by Pauli-Z gates.By studying the relationship among inertia factors, self-factors and global-factors, an adaptive determination of the global-factors is proposed.Taking function extremum optimizing and samples clustering for example, the experimental results show that the proposed algorithm is obviously superior to the standard particle swarm optimization.关键词
粒子群优化/相位编码/自适应调整/优化算法Key words
particle swarm optimization/phase encoding/adaptive adjustment/optimization algorithm分类
信息技术与安全科学引用本文复制引用
李盼池,张巧翠,杨雨..一种基于相位编码的自适应量子粒子群算法[J].计算机工程与应用,2011,47(23):57-60,4.基金项目
国家自然科学基金(the National Natural Science Foundation of China under Grant No.60773065) （the National Natural Science Foundation of China under Grant No.60773065）
中国博士后科学基金(No.20090460864) （No.20090460864）
黑龙江省博士后科学基金(No.LBH-Z09289) （No.LBH-Z09289）
黑龙江省教育厅科学基金(No.11551015). （No.11551015）
