摘要
针对遗传算法爬山能力差的弱点，对传统的遗传算法进行改进，构造出新的重组策略，提出用禁忌搜索作为变异算子．对典型函数的测试表明。
Directed at the weak capacity of climbing hill of genetic algorithm, we improve the standard genetic algorithm by introducing tabu search. A new recombination operator is constructed, while mutation operator is replaced by tabu search. The solution results for test functions show that improved genetic algorithm has greater capacity of climbing hill than standard genetic algorithm.
出处
《信息与控制》
CSCD
北大核心
1997年第6期449-454,共6页
Information and Control
关键词
遗传算法
混合遗传算法
算法
genetic algorithm, tabu search, test function
