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强化局部搜索能力的遗传算法 被引量:2

A Genetic Algorithm Enhanced Local Search Capability
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摘要 把均匀设计法用于构造带自适应性的变异算子,使每代种群中的最好个体参与均匀设计的杂交,增强了遗传算法的局部搜索能力.数值实验表明该算法十分有效. The paper makes use of uniform design to construct self-adaptive operator, letting the best individual join uniform design crossover in every generation. As a result, the local search capability of the genetic algorithm is improved. The numerical experiments show the proposed algorithm is very effective.
出处 《广东工业大学学报》 CAS 2002年第4期13-15,共3页 Journal of Guangdong University of Technology
基金 国家自然科学重点项目基金(69934030) 广东工业大学博士启动基金(023011)
关键词 遗传算法 局部搜索 均匀设计 变异算子 数值算法 genetic algorithm local search uniform design
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参考文献1

  • 1王元 方开泰.均匀分布和实验设计的一点注记[J].科学通报,1981,26(6):485-489.

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