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

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 ev...

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Bibliographic Details
Main Authors: Haihong Zhu, Ning Luo, Xiaoping Li
Format: Article
Language:English
Published: Wiley 2021-06-01
Series:IET Collaborative Intelligent Manufacturing
Subjects:
Online Access:https://doi.org/10.1049/cim2.12002
Description
Summary: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.
ISSN:2516-8398