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Application of Improved Genetic Algorithm for Optimization of Muti-project in Limited Resources

机译:改进遗传算法在有限资源多项目优化中的应用

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摘要

At present, the optimization of muti-project in condition of limited resources is very hard to obtain the satisfying computation result by using traditional methods. However, Genetic Algorithm is better than the traditional optimization methods in getting the optimization solution. Therefore, it is necessary to combine genetic algorithm with this problem. Genetic Algorithm and Adaptive Genetic Adaptive are applied for the optimization problem, and the feasibility and efficiency of the methods are verified by a case. Therefore, the method has its application value for the resource optimization of muti-project management.
机译:目前,在资源有限的情况下,多项目的优化很难通过传统方法获得令人满意的计算结果。然而,遗传算法在获得优化解方面比传统的优化方法要好。因此,有必要将遗传算法与这个问题结合起来。将遗传算法和自适应遗传自适应算法应用于优化问题,并通过实例验证了该方法的可行性和有效性。因此,该方法对多项目管理资源优化具有应用价值。

著录项

  • 来源
    《 》|2008年|1-5|共5页
  • 会议地点 大连
  • 作者

    Liang Guo; Xianghui Deng;

  • 作者单位

    College of Economics and Management North West AF University Yangling 712100 China School of Economics and Management Xi'an Technological University Xi'an 710032 China;

    Department of Civil Engineering Xi'an Technological University Xi'an 710032 China;

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  • 原文格式 PDF
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  • 中图分类
  • 关键词

    optimization of muti-project; management; limited resources; adaptive Genetic Algorithms;

    机译:多个项目的优化;管理;有限的资源;自适应遗传算法;

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