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MEMETIC算法在多峰连续函数优化问题中的应用
引用本文:屈爱平.MEMETIC算法在多峰连续函数优化问题中的应用[J].科学技术与工程,2010,10(1).
作者姓名:屈爱平
作者单位:怀化学院数学系,怀化,418008
基金项目:湖南省教育厅项目(08C668)资助
摘    要:根据多峰连续函数优化问题的特点,在Memetic算法的框架下,采用了爬山局部搜索与自适应多点交叉、随机变异相结合的策略对染色体群体进行优化,有效避免算法陷入局部最优,提高了算法的效率。数值计算表明Memetic算法在求解多峰连续函数优化问题上具有很好的效果。

关 键 词:多峰连续函数优化  爬山局部搜索  Memetic算法  
收稿时间:9/22/2009 4:26:27 PM
修稿时间:9/22/2009 4:26:27 PM

Application of Memetic Algorithm in Continuous Function Optimizations
quaiping.Application of Memetic Algorithm in Continuous Function Optimizations[J].Science Technology and Engineering,2010,10(1).
Authors:quaiping
Institution:Huaihua University/a>;Huaihua 418008/a>;P.R.China
Abstract:According to the characteristics of continuous function optimizations,the strategy is adopted by association of climbing method as the local search,adaptive multi-point cross and random mutation to optimize the chromosome population,it avoided the algorithm fall into the local optimal effectively and improved the algorithm's efficiency.Numerical experiment indicated that the memetic algorithm have a good effect for solution of the continuous function optimizations.
Keywords:continuous function optimizations climbing local search method Memetic algorithm  
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