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A New Plant Intelligent Behaviour Optimisation Algorithm for Solving Vehicle Routing Problem

机译:解决车辆路径问题的工厂智能行为优化新算法

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摘要

A new plant intelligent behaviour optimisation algorithm is developed. The algorithm is motivated by intelligent behaviour of plants and is implemented to solve benchmark vehicle routing problems of all sizes, and results were compared to those in literature. The results show that the new algorithm outperforms most of algorithms it was compared to for very large and large vehicle routing problem instances. This is attributed to the ability of the plant to use previously stored memory to respond to new problems. Future research may focus on improving input parameters so as to achieve better results.
机译:开发了一种新的工厂智能行为优化算法。该算法以工厂的智能行为为动力,并被实施以解决各种规模的基准车辆路径问题,并将结果与​​文献中的结果进行比较。结果表明,对于非常大的大型车辆路径问题实例,新算法的性能优于大多数算法。这归因于工厂使用先前存储的内存来应对新问题的能力。未来的研究可能集中在改善输入参数,以便获得更好的结果。

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  • 来源
    《Mathematical Problems in Engineering 》 |2018年第2期| 9874356.1-9874356.10| 共10页
  • 作者

    Chagwiza Godfrey;

  • 作者单位

    Natl Univ Sci & Technol, Dept Appl Math, POB AC939, Ascot, Bulawayo, Zimbabwe;

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  • 正文语种 eng
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