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Improved Genetic-Tabu Search Algorithm in Bus Scheduling Study

机译:公交调度研究中改进的遗传-Tabu搜索算法

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Because the existence of defects in the traditional genetic algorithm,we use the improved the geneticTabu Search algorithm(GA-TS) in this paper for the optimization of bus scheduling model,then got over the traditional genetic algorithm's problem such as slow-evolution,premature.local optimal solution and other issues,imulation results show that:GA-TS optimize performance superior to the traditional genetic algorithm.
机译:由于传统遗传算法存在缺陷,本文采用改进的遗传Tabu搜索算法(GA-TS)对公交车调度模型进行优化,从而克服了传统遗传算法的慢进化,早熟等问题。 。局部最优解等问题,仿真结果表明:GA-TS的优化性能优于传统遗传算法。

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