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- W2378749191 abstract "The Traveling Salesman Problem is a typical NP-hard combination optimization question,has the important application in many domains.In recent years,the tradition genetic algorithm and so on each intelligent optimization method is introduced to solve this question,but the effect is not ideal.Based on the mechanism of ideal density model and characteristic of the Traveling Salesman Problem,the crossover operation in GA is redesigned by using the principle of Uniform Design Sampling and combining the 2-opt locale search strategy.Then a new GA is presented.The new GA is applied to solve the Traveling Salesman Problem.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." @default.
- W2378749191 created "2016-06-24" @default.
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- W2378749191 date "2009-01-01" @default.
- W2378749191 modified "2023-09-25" @default.
- W2378749191 title "A Hybrid Genetic Algorithm based on Uniform Design Sampling for Solving Traveling Salesman Problem Using" @default.
- W2378749191 hasPublicationYear "2009" @default.
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