| 多种群并行的自适应差分进化算法 |
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| 引用本文： | 葛延峰,金文静,高立群,冯达.多种群并行的自适应差分进化算法[J].东北大学学报(自然科学版),2011,32(4):481-484. |
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| 作者姓名： | 葛延峰 金文静 高立群 冯达 |
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| 作者单位： | 东北大学,信息科学与工程学院,辽宁,沈阳,110819 |
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| 摘 要： | 为了提高搜索速度,同时克服传统算法过早陷入局部最优值的不足,提出了一种改进自适应差分进化算法.改进算法在充分分析经典和改进变异操作算子的属性以及种群统计信息的基础上,按照个体适应度的差异,将个体分成不同的子种群并相应地引入与之匹配的变异算子,转换成一个多种群并行的优化问题,保证在加快算法收敛速度的同时有效跳出局部极值点...
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| 关 键 词： | 差分进化算法 多种群 自适应调整 全局优化 局部最优 |
An Adaptive Differential Evolution Algorithm Based on a Multi-population Parallel |
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| GE Yan-feng,JIN Wen-jing,GAO Li-qun,FENG Da.An Adaptive Differential Evolution Algorithm Based on a Multi-population Parallel[J].Journal of Northeastern University(Natural Science),2011,32(4):481-484. |
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| Authors: | GE Yan-feng JIN Wen-jing GAO Li-qun FENG Da |
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| Institution: | GE Yan-feng,JIN Wen-jing,GAO Li-qun,FENG Da(School of Information Science & Engineering,Northeastern University,Shenyang 110819,China.) |
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| Abstract: | A new adaptive differential evolution algorithm was put forward to improve search speed and avoid local optimal value.Sufficiently analyzing the characteristics of classic/adaptive mutation operators and the solution state,individuals were divided into three subgroups according to individual fitness values,thereby optimizing based on multiple populations,and different mutation operators were placed in different subpopulations.In addition,self-adaptive adjustment was introduced to adjust control parameters.P... |
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| Keywords: | differential evolution algorithm multiple populations self-adaptive adjustment global optimization local optimum |
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