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A New Evolutionary Algorithm for Function Optimization 被引量:37
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作者 GUO Tao, KANG Li shan State Key Laboratory of Software Engineering, Wuhan University,Wuhan 430072, China 《Wuhan University Journal of Natural Sciences》 CAS 1999年第4期409-414,共6页
A new algorithm based on genetic algorithm(GA) is developed for solving function optimization problems with inequality constraints. This algorithm has been used to a series of standard test problems and exhibited good... A new algorithm based on genetic algorithm(GA) is developed for solving function optimization problems with inequality constraints. This algorithm has been used to a series of standard test problems and exhibited good performance. The computation results show that its generality, precision, robustness, simplicity and performance are all satisfactory. 展开更多
关键词 Key words evolutionary algorithm function optimization problem inequality constraints
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