变异区间自适应调整的遗传算法  

Genetic algorithm with variable mutation intervals

作　　者：赖鑫生[1] 冷明伟[1] 谭国律[1] 周玉林[1] 

机构地区：[1]上饶师范学院数学与计算机系,江西上饶334001

出　　处：《计算机应用》2009年第6期1566-1568,共3页journal of Computer Applications

基　　金：江西省教育厅科技项目(GJJ09377GJJ08466);江西省教育厅青年科学基金资助项目(GJJ09616)

摘　　要：在对遗传算法进化概率进行深入分析的基础上,提出了变异区间随演化进程自适应调整的遗传算法,旨在通过变异区间的自适应调整提高遗传算法的性能。实验结果表明变异区间自适应调整的遗传算法不仅比基本遗传算法有更快的收敛速度,而且有更高的求解精度。Based on thorough analysis of the evolvement probability of Genetic Algorithm （GA）, an improved genetic algorithm with variable mutation interval was presented, in which mutation intervals were adjusted adaptively with evolution process. Experimental results show that the proposed algorithm not only converges faster than the original algorithm, but also has a higher precision.

关 键 词：遗传算法 变异区间 进化概率 早熟 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]