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论文类型：期刊论文

发表时间：2022-06-29

发表刊物：运筹与管理

所属单位：经济管理学院

期号：1

页面范围：18-24

ISSN号：1007-3221

摘要：In order to solve the flexible job-shop scheduling ( FJSP problem in the multi objective environment, the simulation model is established aiming at minimizing the makespan and penalty, and an improved chaos quantum particle swarm optimization ( IQPSO) algorithm is proposed.On the basis of the characteristics of the production delivery time in actual production, we introduce the method of initializing population with chaos mechanism.To update the quantum individual, we propose a novel method to improve the quantum rotating an-gle.The chaos local optimization strategy using the ergodicity of chaos mechanism is proposed.The multi-attrib-ute decision model based on weighted grey target strategy is introduced to select the most satisfied schedule scheme.The feasibility of the proposed algorithm and the validity of solving the multi-objective FJSP are verified through the classical example and a mechanical mould job-shop scheduling.

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