有时间约束旅行商问题的 启发式遗传算法
A Heuristic Genetic Algorithm for the Travelling Salesman Problem with Time Restraints
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摘要: 有时间约束的旅行商问题作为旅行商问题的拓展,是一个重要的NP难题,深入研究这一问题具有重要 的理论和实践意义。将时间窗约束转化为目标约束,采用序列编码设计了基于启发式规则的可同时处理软、硬 时间约束的遗传算法———2-交换变异的遗传算法和3-交换变异的遗传算法。实验表明HGA1优于简单遗传算法 (SGA),HGA2优于HGA1。Abstract: As an extension of the travelling salesman problem, the travelling salesman problem with time windows is a very difficult problemwith great theoretical and practical significance. In this paper, the time restraints are converted intoobjective restraints, and genetic algorithmswithmutations by2-exchange and by 3-exchange, respectively, are designed by using sequence coding to deal with the soft and hard time restraints. The simulation indicates that the latter algorithm is superior to the former, and that both of the proposed algorithms are superior to the simple genetic algorithm.
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