| 适应度排序改进惯性权重的粒子群算法 |
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| 引用本文： | 陶俊波,吴彰敦,蔡德所. 适应度排序改进惯性权重的粒子群算法[J]. 计算机工程与应用, 2009, 45(14): 53-55. DOI: 10.3778/j.issn.1002-8331.2009.14.014 |
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| 作者姓名： | 陶俊波 吴彰敦 蔡德所 |
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| 作者单位： | 广西大学,土木建筑工程学院,南宁,530004;福建水利电力职业技术学院,福建,永安,366000;广西大学,土木建筑工程学院,南宁,530004;广西大学,土木建筑工程学院,南宁,530004;三峡大学,土木水电学院,湖北,宜昌,443002 |
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| 摘 要： | 改进PSO算法的惯性权重。惯性权重不仅随代数纵向线性变化，也根据当前和迄今粒子的适应度重排序横向线性变化。横向线性变化上限不变，下限逐渐减小，使得横向线性变化数值范围随代数逐渐增大。惯性权重数值随着代数逐渐取负，并且适应度差的粒子取负的几率更大。得到基于粒子适应度排序改进惯性权重的粒子群算法（ASMIWPSO算法）。通过仿真学解释ASMIWPSO算法。Rastrigrin函数测试对比ASMIWPSO算法、PSO算法，说明ASMIWPSO算法具有更好的优化结果。
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| 关 键 词： | 粒子群算法 惯性权重 适应度排序 |
| 收稿时间： | 2008-08-19 |
| 修稿时间： | 2008-9-20 |
Use adaptation sequence modified inertia weight particle swarm optimization |
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| TAO Jun-bo,WU Zhang-dun,CAI De-suo. Use adaptation sequence modified inertia weight particle swarm optimization[J]. Computer Engineering and Applications, 2009, 45(14): 53-55. DOI: 10.3778/j.issn.1002-8331.2009.14.014 |
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| Authors: | TAO Jun-bo WU Zhang-dun CAI De-suo |
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| Affiliation: | 1.Department of Civil and Architecture Engineering，Guangxi University，Nanning 530004，China 2.Fujian College of Water Conservancy and Electricity Power，Yong’an，Fujian 366000，China 3.College of Civil and Hydropower Engineering，Three Gorges University，Yichang，Hubei 443002，China |
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| Abstract: | It has modified PSO inertia weight.The inertia weight not only through its longitudinal linear change by generation;but also think about current and up to now best results of particles adaptation sequence's lateral linear change which rearrange by adaptation good or bad.The lateral linear upper bound un-change and lower bound become small,so the lateral linear range expend gradually.The inertia weight will generate more negative value by generation increasing.That obtain use adaptation sequence modified ine... |
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| Keywords: | particle swarm optimization inertia weight adaptation sequence |
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