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差异演化算法改进与应用
引用本文:卢青波,张学良,温淑花,武美先,兰国生,刘丽琴.差异演化算法改进与应用[J].农业机械学报,2010,41(2):193-197.
作者姓名:卢青波  张学良  温淑花  武美先  兰国生  刘丽琴
作者单位:1. 太原科技大学机电工程学院,太原,030024;郑州职业技术学院电气电子工程系,郑州,450121
2. 太原科技大学机电工程学院,太原,030024
基金项目:国家自然科学基金资助项目,山西省自然科学基金资助项目 
摘    要:提出了一种改进的差异演化算法MDE(modified differential evolution algorithm),该算法首先对差异演化算法的缩放因子进行混沌计算,减少了用户参与程度,平衡了算法的收敛速度与全局搜索能力;其次引入灾变因子,对群体中的个体进行小概率淘汰,同时又有新的个体加入,从而提高了群体多样性,提高了算法的全局搜索能力.仿真实验与工程实例表明,该算法具有较好的全局搜索能力.

关 键 词:混沌  差异演化  灾变因子  全局搜索

Modified Differential Evolution and Its Application
Lu Qingbo,Zhang Xueliang,Wen Shuhu,Wu Meixian,Lan Guosheng and Liu Liqin.Modified Differential Evolution and Its Application[J].Transactions of the Chinese Society of Agricultural Machinery,2010,41(2):193-197.
Authors:Lu Qingbo  Zhang Xueliang  Wen Shuhu  Wu Meixian  Lan Guosheng and Liu Liqin
Institution:1.College of Mechanical Electronic Engineering/a>;Taiyuan University of Science and Technology/a>;Taiyuan 030024/a>;China2.Department of Electrical and Electronic Engineering/a>;Zhengzhou Technical College/a>;Zhengzhou 450121/a>;China
Abstract:Differential evolution(DE) is one kind of evolution algorithm based on difference of individuals.DE has exhibited good performance on optimization.However,for the high dimension and perplexed function,the algorithm is apt to fall into premature convergence,its performance is strongly influenced by the value of each strategy parameter including scale factor.Therefore,a modified differential evolution algorithm(MDE) was proposed to solve the optimization problems.First,the scale factor was randomly initialize...
Keywords:Choas  Differential evolution  Disaster factor  Global optimal capability
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