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A quantum‐inspired cuckoo co‐evolutionary algorithm for no‐wait flow shop scheduling

机译:一种Quantum-Inspired Cuckoo共同进化算法,用于不等待流店调度

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摘要

Abstract No‐wait flow shop scheduling problems (NWFSPs) are widespread in practical applications. The authors propose a quantum‐inspired cuckoo co‐evolutionary algorithm for the NWFSP to minimize the makespan. There are three algorithm components: quantum solution construction, quantum population evolution, and an improved neighbourhood local search. They generate initial solutions, search solutions, and improve solution qualities, respectively. Parameters of the proposed algorithm are calibrated statistically. The proposal with calibrated parameters is compared with three existing algorithms on Reeves and Taillard benchmark instances with middle scales. Experimental results show that the proposal outperforms the compared algorithms.
机译:摘要无等待流程店调度问题(NWFSP)在实际应用中是广泛的。作者提出了一种Quallum-Inspired Cuckoo共同进化算法,用于最小化Makespan。有三种算法组件:量子溶液结构,量子群体演化和改进的邻域本地搜索。它们分别生成初始解决方案,搜索解决方案和改善解决方案质量。所提出的算法的参数统计校准。将校准参数的提案与具有中间尺度的Reeves和Taillard基准实例的三个现有算法进行比较。实验结果表明,该提案优于比较算法。

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