Hybrid approach using ant colony optimization and fuzzy logic to solve multi-criteria hybrid flow shop scheduling problem

Safa Khalouli, F. Ghedjati, A. Hamzaoui
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引用次数: 7

Abstract

In this paper, we propose to solve the hybrid flow shop scheduling problem with multiple criteria, by using an hybrid method. This latter consists on the one hand, to use a meta-heuristic based on ant colony optimization algorithm to generate feasible solutions and, on the other hand, an aggregation multi-criteria method based on fuzzy logic is used to assist the decision-maker to express his preferences according to the considered objective functions. The aggregation method uses the Choquet integral which allows us to take into account the interactions between the different criteria. Experiments based on randomly generated instances were conducted to test the effectiveness of our approach.
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采用蚁群优化和模糊逻辑的混合方法求解多准则混合流水车间调度问题
本文提出了一种求解多准则混合流水车间调度问题的混合方法。后者一方面是利用基于蚁群优化算法的元启发式算法生成可行解,另一方面是利用基于模糊逻辑的聚合多准则方法,帮助决策者根据考虑的目标函数表达自己的偏好。聚合方法使用Choquet积分,它允许我们考虑不同标准之间的相互作用。实验基于随机生成的实例来测试我们的方法的有效性。
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