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基于小生境遗传算法的多峰函数全局优化研究
Niche genetic algorithm to solve multi-modal function global optimization problem
【摘要】 针对基本遗传算法在求解多峰函数时很难找到全部最优解的问题,研究了基于淘汰相似结构机制的小生境遗传算法。用该算法对两个典型多峰函数求解的测试结果表明,该算法较之基本遗传算法有更强的全局搜索能力和更快的收敛速度。
【Abstract】 A niche genetic algorithm based on the mechanism of eliminating the similar structures was studied,as it is hard to find all the optimum solutions when using simple genetic algorithm to solve multimodal functions.Testing two typical multimodal functions shows that the niche genetic algorithm has more powerful global searching ability and can converge more quickly than the simple genetic algorithm.
【关键词】 遗传算法;
小生境;
多峰函数;
全局优化;
【Key words】 genetic algorithm; niche; multimodal function; global optimization;
【Key words】 genetic algorithm; niche; multimodal function; global optimization;
【基金】 江苏省教育厅自然科学基金资助项目(03KJB510041)
- 【文献出处】 南京工业大学学报(自然科学版) ,Journal of Nanjing University of Technology(Natural Science Edition) , 编辑部邮箱 ,2006年03期
- 【分类号】TP301.6
- 【被引频次】37
- 【下载频次】561