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一种基于遗传算法的Job Shop作业排序方法
引用本文:李国富,叶飞帆,周昌乐.一种基于遗传算法的Job Shop作业排序方法[J].宁波大学学报(理工版),1998(3).
作者姓名:李国富  叶飞帆  周昌乐
作者单位:宁波大学机械系,杭州大学计算机科学与技术系
摘    要:用遗传算法对JobShop零件排序问题进行优化搜索,并在算法中引A了一些新的思想,以有利于降低种群的规模,提高计算速度,改善优化结果。

关 键 词:遗传算法,作业排序,种群规模,收敛速度

SCHEDULING JOB SHOP PROBLEMS BASED ONGENETIC ALGORITHMS
Li Guofu, Ye Feifan.SCHEDULING JOB SHOP PROBLEMS BASED ONGENETIC ALGORITHMS[J].Journal of Ningbo University(Natural Science and Engineering Edition),1998(3).
Authors:Li Guofu  Ye Feifan
Abstract:A kind of genetic algorithm for job shop problems is studied. Somenew ideas are introduced in the algorithm in order to control the scale of population and to improve the computing efficiency. Satisfactory optimization results of the problems are obtained according to the numerical experiment with the proposed algorithm.
Keywords:genetic algorithm job shop scheduling scale of population computing efficiency
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