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《Journal of Northern Jiaotong University》 2000-06
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A Survey of Constraint Optimization Method Based on Genetic Algorithm

SUN Yan feng 1, ZHENG Jia qi 1, WANG De xing 2, WU Hua 2 (1.College of Traffic and Transport, Northern Jiaotong University, Beijing 100044, China; 2.Daqing Electric Power Bureau, Daqing 163454,China)  
The genetic algorithm had handled nonconstraint optimization successfully. Now, the difficulty is how to solve constraint optimization by genetic algorithm. There is no uniform methodology for handling constraints. The most common approach is the penalty function method. But several other methods for handling constraints have emerged recently. This paper reviews such methods and discusses their merits and drawbacks.
【Fund】: 国家教委博士点基金!资助项目 (19990 0 0 411)
【CateGory Index】: O224
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