刘树安, 郑秉霖, 王梦光, 朱军. 改进GAs算法在大规模资源分配问题中的应用[J]. 信息与控制, 1998, 27(2): 110-112.
引用本文: 刘树安, 郑秉霖, 王梦光, 朱军. 改进GAs算法在大规模资源分配问题中的应用[J]. 信息与控制, 1998, 27(2): 110-112.
LIU Shuan, ZHENG Binglin, WANG Mengguang, ZHU Jun. THE IMPROVED GENETIC ALGORITHMS FOR THE LARGE-SCALE RESOURCE ALLOCATION PROBLEMS[J]. INFORMATION AND CONTROL, 1998, 27(2): 110-112.
Citation: LIU Shuan, ZHENG Binglin, WANG Mengguang, ZHU Jun. THE IMPROVED GENETIC ALGORITHMS FOR THE LARGE-SCALE RESOURCE ALLOCATION PROBLEMS[J]. INFORMATION AND CONTROL, 1998, 27(2): 110-112.

改进GAs算法在大规模资源分配问题中的应用

THE IMPROVED GENETIC ALGORITHMS FOR THE LARGE-SCALE RESOURCE ALLOCATION PROBLEMS

  • 摘要: 采用改进GAs算法建立了求解大规模规划的资源分配模型.针对大规模资源分配问题的具体特点,设计了合适的GAs算子,并以实例验证了算法的合理性及有效性.

     

    Abstract: In this paper, based on analysis of traditional large-scale decompose-coordinate problem, an Improved Genetic Algorithms for solving large-scale resource allocation problem is proposed. In accordance with special features of large-scale resource allocation problem, some operators in GAs are selected and designed appropriately. Analysis and computational results of instances confirm its effectiveness.

     

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