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Research on TSP solution based on genetic algorithm of Logistic equation

机译:基于Logistic方程遗传算法的TSP解决方案研究

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The TSP is a NP problem. There are many genetic algorithm methods to solve the problem. The thesis put forward a new selective operator which can improve the genetic algorithm by heuristic information based on the changing characters of combinatorial information in TSP problem and the Logistic equation. This method can help the genetic algorithm to solve the TSP problems. The thesis also attempted to give some ways to avoid part optimization problem of the genetic algorithm.
机译:TSP是一个NP问题。有很多遗传算法可以解决这个问题。本文提出了一种新的选择性算子,它可以根据TSP问题中组合信息的变化特征和Logistic方程,通过启发式信息对遗传算法进行改进。该方法可以帮助遗传算法解决TSP问题。论文还试图给出一些避免遗传算法部分优化问题的方法。

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