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《Computer Engineering and Applications》 2009-30
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New genetic algorithm to solve 0-1 knapsack problem

ZHOU Ben-da1,CHEN Ming-hua2,REN Zhe31.Dept. of Mathematics & Physics,West Anhui University,Liu’an,Anhui 237012,China 2.Dept. of Computer Science & Technology,West Anhui University,Liu’an,Anhui 237012,China 3.Dept. of Mathematics and Physics,Hefei University,Hefei 230022,China  
It is well known that the GA is a guided random search and the guiding direction always aims at the family whose ancestors have schemata with high fitness.Based on the results,the crossover operation in GA is redesigned by using the principle of random uniform design sampling.Then a new GA called Genetic Algorithm based on Random Uniform Design Sampling is presented.The new GA is applied to solve the 0-1 knapsack question.Compared to simple GA and Good Point GA for solving this problem,the simulation results show that the new GA has superiority in speed,accuracy and overcoming premature.
【Fund】: 安徽省高校自然科学研究计划项目No.KJ2007B152;; 安徽省教育厅自然科学研究项目(No.2005KJ222 No.2006KJ046B);; 安徽省高校青年教师资助计划项目(No.2007jql180)~~
【CateGory Index】: TP18
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