| 一种二进制编码的量子粒子群优化算法 |
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| 引用本文： | 奚茂龙,孙俊,吴勇.一种二进制编码的量子粒子群优化算法[J].控制与决策,2010,25(1). |
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| 作者姓名： | 奚茂龙 孙俊 吴勇 |
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| 作者单位： | 1. 无锡职业技术学院机电技术学院,江苏,无锡,214121
2. 江南大学信息学院,江苏,无锡,214122 |
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| 基金项目： | 国家自然科学基金项目(60474030) |
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| 摘 要： | 针对离散空间优化问题，给出二进制编码的量子粒子群优化（ＢＱＰＳＯ）算法的设计思路，重新定义粒子的位置矢量和粒子之间的距离，提出了ＢＱＰＳＯ 算法的进化方程．通过泛函分析的方法分析了ＢＱＰＳＯ 算法的收敛性，得出全局收敛的结论，并通过多个测试函数测试了ＢＱＰＳＯ 算法的性能．求解结果验证了算法的优越性．
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| 关 键 词： | 量子粒子群算法 二进制编码 全局收敛 |
| 收稿时间： | 2009-2-19 |
| 修稿时间： | 2009-4-6 |
Quantum-behaved particle swarm optimization with binary encoding |
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| XI Mao-long,SUN Jun,WU Yong.Quantum-behaved particle swarm optimization with binary encoding[J].Control and Decision,2010,25(1). |
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| Authors: | XI Mao-long SUN Jun WU Yong |
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| Affiliation: | 1.School of Mechatronics Technology/a>;Wuxi Institute of Technology/a>;Wuxi 214121/a>;China/a>;2.School of Information Technology/a>;Southern Yangtze University/a>;Wuxi 214122/a>;China |
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| Abstract: | The thought of quantum-behaved particle swarm optimization with binary encoding (BQPSO) is discussed,and evolution equations are given which are completely different from the QPSO algorithm.Position vector and distance between two positions are redefined,and QPSO algorithm with binary encoding is proposed.The convergence of BQPSO algorithm is analyzed by using functional analysis method,and conclusion of global convergence is derived.The test result for BQPSO algorithm shows its better performance in solvin... |
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| Keywords: | QPSO Binary encoding Global convergence |
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