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- W2365659112 abstract "As a general and high efficient optimization algorithm, genetic algorithm has already been used in all realms of engineering calculation. Firstly, the principle and procedure of genetic algorithm are presented simply in this paper. At the same time, in order to verify its capacity for global optimization, the program compiled by MAT-LAB language can realize the running of genetic algorithm to solve the problems of numerical optimization and traveling salesman. We should notice that the program and the solution of these two problems depend on different established genetic algorithm toolbox. For the convenience of explaining the advantage of genetic algorithm, we compared the results of numerical optimization and traveling salesman using genetic algorithm with the ones using local search strategy and simulated annealing. The results show that genetic algorithm has better optimization capacity than that of local search strategy, and for traveling salesman problem we also can acquire satisfactory result." @default.
- W2365659112 created "2016-06-24" @default.
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- W2365659112 date "2005-01-01" @default.
- W2365659112 modified "2023-09-23" @default.
- W2365659112 title "Examples for the Application of Genetic Algorithm" @default.
- W2365659112 hasPublicationYear "2005" @default.
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