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Fuzzy greedy search heuristic for combinatorial optimization with specific application to machine scheduling

机译:模糊贪婪搜索启发式组合优化及其在机器调度中的特殊应用

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摘要

This paper presents the mathematics of a two-phase constructive polynomial-time heuristic that can be integrated into approaches for hard combinatorial optimization problems. The proposed method evaluates objects in a way that combines fuzzy reasoning with a greedy mechanism, thereby exploiting a fuzzy solution space using greedy methods. The effectiveness and efficiency of the proposed method are demonstrated on permutation flow-shop scheduling as one of the most widely studied hard combinatorial optimization problems in the areas of operational research and management science.
机译:本文介绍了两阶段构造多项式时间启发式算法的数学原理,该算法可以集成到硬组合优化问题的方法中。所提出的方法通过将模糊推理与贪婪机制相结合的方式来评估对象,从而利用贪婪方法来开发模糊解空间。该方法的有效性和有效性在置换流水车间调度中得到了证明,它是运筹学和管理科学领域研究最广泛的硬组合优化问题之一。

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