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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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
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author Haihong Zhu
Ning Luo
Xiaoping Li
author_facet Haihong Zhu
Ning Luo
Xiaoping Li
author_sort Haihong Zhu
collection DOAJ
description 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.
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spelling doaj.art-ed157ed78d6b49a3bb861c55fefeda3f2022-12-22T04:08:07ZengWileyIET Collaborative Intelligent Manufacturing2516-83982021-06-013210511810.1049/cim2.12002A quantum‐inspired cuckoo co‐evolutionary algorithm for no‐wait flow shop schedulingHaihong Zhu0Ning Luo1Xiaoping Li2School of Cyber Science and Engineering Southeast University Nanjing211189 ChinaInstitute of Software Chinese Academy of Sciences Beijing100190 ChinaSchool of Computer Science and Engineering Southeast University Nanjing211189 ChinaAbstract 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.https://doi.org/10.1049/cim2.12002evolutionary computationflow shop schedulingsearch problems
spellingShingle Haihong Zhu
Ning Luo
Xiaoping Li
A quantum‐inspired cuckoo co‐evolutionary algorithm for no‐wait flow shop scheduling
IET Collaborative Intelligent Manufacturing
evolutionary computation
flow shop scheduling
search problems
title A quantum‐inspired cuckoo co‐evolutionary algorithm for no‐wait flow shop scheduling
title_full A quantum‐inspired cuckoo co‐evolutionary algorithm for no‐wait flow shop scheduling
title_fullStr A quantum‐inspired cuckoo co‐evolutionary algorithm for no‐wait flow shop scheduling
title_full_unstemmed A quantum‐inspired cuckoo co‐evolutionary algorithm for no‐wait flow shop scheduling
title_short A quantum‐inspired cuckoo co‐evolutionary algorithm for no‐wait flow shop scheduling
title_sort quantum inspired cuckoo co evolutionary algorithm for no wait flow shop scheduling
topic evolutionary computation
flow shop scheduling
search problems
url https://doi.org/10.1049/cim2.12002
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AT haihongzhu quantuminspiredcuckoocoevolutionaryalgorithmfornowaitflowshopscheduling
AT ningluo quantuminspiredcuckoocoevolutionaryalgorithmfornowaitflowshopscheduling
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