| 箱型约束优化问题的免疫进化的微粒群算法 |
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| 引用本文： | 刘国志,刘倩囡. 箱型约束优化问题的免疫进化的微粒群算法[J]. 长春光学精密机械学院学报, 2012, 0(3): 89-92 |
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| 作者姓名： | 刘国志 刘倩囡 |
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| 作者单位： | [1]辽宁石油化工大学理学院信息与计算科学系,抚顺113001 [2]华北电力大学（北京）能源动力与机械工程学院,北京102206 |
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| 基金项目： | 辽宁省自然科学基金资助（001084） |
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| 摘 要： | 通过引入免疫进化项,提出一个求解箱型约束优化问题的新的算法—免疫进化的微粒群算法。该算法利用8个典型的测试函数进行数值实验,且与被动聚集的微粒群算法、全局版本的微粒群算法、局部版本的微粒群算法和具有压缩因子的微粒群算法进行计算比较,计算结果表明免疫进化的微粒群算法是求解箱型约束优化问题的一个高效的算法。
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| 关 键 词： | 免疫进化 微粒群优化 箱型约束最优化 |
Particle Swarm Optimization Algorithms with Immune Evolutionary for Box Constrained Optimization |
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| LIU Guozhi,LIU Qiannan. Particle Swarm Optimization Algorithms with Immune Evolutionary for Box Constrained Optimization[J]. Journal of Changchun Institute of Optics and Fine Mechanics, 2012, 0(3): 89-92 |
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| Authors: | LIU Guozhi LIU Qiannan |
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| Affiliation: | 1.Department of information ＆ Computational Science,College of Science,Liaoning University of Petroleum ＆ Chemical Technology,Fushun 113001;2.School of Energy power and Mechanical Engineering,North China Electric power University Beijing,102206) |
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| Abstract: | By introducing immune evolutionary,this paper proposes a particle swarm optimization algorithms with immune evolutionary（IEPSO） for box constrained optimization problems.A particle swarm optimization algorithms with immune evolutionary is tested with a set of 8 benchmark functions with 30 dimensions and compared to a particle swarm optimizer with passive congregation（PSOPC）,a global version of SPSO（GSPSO）,a local version of SPSO（LSPSO）,and PSO with a constriction factor（CPSO）,respectively.Experimental results indicate that the PSO with Immune evolutionary improves the search performance on the benchmark functions significantly. |
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| Keywords: | Immune evolutionary Particle swarm optimization Box constrained optimization |
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