A Genetic Algorithm Based on Random Uniform Design Point Set for Solving MVCP
REN Zhe1,ZHOU Ben-Da2,CHEN Ming-Hua3
1.Department of Mathematics and Physics,Hefei University,Hefei 230022 2.Department of Mathematics and Physics,West Anhui University,Luan 237012 3.Department of Computer Science and Technology,West Anhui University,Luan 237012
Abstract：Based on the mechanism analysis of ideal density model and by utilizing the principle and method of random uniform design (RUD), the crossover operation in genetic algorithm (GA) is redesigned. Then, on the basis of characteristic analysis of the minimum vertices covering problem (MVCP) in graph and combining scan-repair and local improvement techniques, a GA based on RUD point set is presented to solve the MVCP. Compared with simple GA and Good Point GA for solving this problem, the simulation results show that the presented GA has superiority in speed, accuracy and overcoming premature.
任哲，周本达，陈明华. 一种基于随机化均匀设计点集的遗传算法用于求解MVCP[J]. 模式识别与人工智能, 2010, 23(2): 284-290.
REN Zhe,ZHOU Ben-Da,CHEN Ming-Hua. A Genetic Algorithm Based on Random Uniform Design Point Set for Solving MVCP. , 2010, 23(2): 284-290.
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2010, Vol. 23 
