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- W2370126804 abstract "To solve traveling salesman problem using genetic algorithm with the node serial number directly,it needed a lot of time to deal with the duplicated code caused by crossover and mutation. A new genetic algorithm with descending order code was put forward.According to the node location information,the encoding and decoding methods were designed,the operators of crossover and mutation in this code system were constructed. A multi-objective model of traveling salesman problem was established. The weights of distance and cost were determined by means of principal components analysis through comparing with the fitness diversity of individual in each generation. Experiments showed that the proposed algorithm could solve the problem of duplicated code,it had great improvement on calculation efficiency,convergence rate and precision of solution." @default.
- W2370126804 created "2016-06-24" @default.
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- W2370126804 date "2014-01-01" @default.
- W2370126804 modified "2023-09-23" @default.
- W2370126804 title "Genetic algorithm with descending order code designed for solving multi-objective TSP" @default.
- W2370126804 hasPublicationYear "2014" @default.
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