| 一种改进的遗传算法交叉策略 |
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| 引用本文： | 张瑜,娄卉芳,文良浩,熊颉.一种改进的遗传算法交叉策略[J].湖南科技大学学报(自然科学版),2012,27(1):94-97. |
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| 作者姓名： | 张瑜 娄卉芳 文良浩 熊颉 |
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| 作者单位： | 南车株洲电力机车研究所有限公司,湖南株洲,412001 |
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| 基金项目： | 动车组和机车牵引与控制试验技术研究应用(湘科鉴字[2011]第032号) |
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| 摘 要： | 适应值的逼近决定子代个体的位置,能快速找出最优个体,但容易陷入局部解.提出了一种改进方法,确定交叉的父代个体,使进化向高适应值区域搜索.通过引入进程实现个体不等几率地产生新个体,保持种群多样性.实验证明该方法可行有效,提高了遗传算法的收敛率和收敛速度.
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| 关 键 词： | 遗传算法 交叉算子 进程 收敛性 |
An improved genetic algorithm crossover operator |
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| ZHANG Yu
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LOU Hui-fang
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WEN Liang-hao
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XIONG Jie.An improved genetic algorithm crossover operator[J].Journal of Hunan University of Science & Technology(Natural Science Editon),2012,27(1):94-97. |
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| Authors: | ZHANG Yu LOU Hui-fang WEN Liang-hao XIONG Jie |
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| Institution: | (Zhuzhou CSR Times Electric Compang Limited,Zhuzhou 412001,China) |
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| Abstract: | The fitness value approximation steers the location of progeny,that obtain optimal solutions quickly.However,it was fallen into the local optimal solutions easily.An improved strategy was present,the individual for crossover operator was accertained,the regions with high fitness were explat.Introducing the process to generate new ones at different rate for every individual,it keep population diversity.Experiment results show that the improved method is useful and effective,and promote the convergence rate in genetic algorithm. |
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| Keywords: | genetic algorithms crossover operator process convergence |
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