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基于共轭梯度法的小生境混合遗传算法

Niche hybrid genetic algorithm based on conjugate gradient algorithm
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摘要 利用遗传算法的全局搜索能力和共轭梯度法的局部搜索能力,并引入小生境技术,提高了种群的整体搜索性和收敛效率.数值试验证明其可行性和优越性. A new hybrid genetic algorithm which combines the good property of the global search of genetic algorithm and regional search of conjugate gradient approach was proposed.In order to ensure the diversity of population and improve the velocity of convergence and efficiency,the niche skill was brought out,by which the best operator was better shared and the function was strengthened.Numerical experiment showed that the new method was feasible and efficient.
出处 《福建农林大学学报(自然科学版)》 CSCD 北大核心 2011年第5期556-560,共5页 Journal of Fujian Agriculture and Forestry University:Natural Science Edition
基金 福建农林大学青年教师基金资助项目(2010021) 福建省教育厅资助项目(JB08258)
关键词 共轭梯度法 遗传算法 小生境技术 多峰函数 conjugate gradient algorithm(CGA) genetic algorithm(GA) niche technology multimodal function
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