An improved quantum-inspired cooperative co-evolution algorithm with muli-strategy and its application

•An improved QCCEA (called MSQCCEA) algorithm with multi-strategy is proposed.•Rrandom rotation direction strategy can avoid local optimum and realize solution space search.•Hamming adaptive rotation angle strategy can improve global search ability and convergence speed.•An airport gate allocation m...

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Veröffentlicht in:	Expert systems with applications Jg. 171; S. 114629
Hauptverfasser:	Cai, Xing, Zhao, Huimin, Shang, Shifan, Zhou, Yongquan, Deng, Wu, Chen, Huayue, Deng, Wuquan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Elsevier Ltd 01.06.2021 Elsevier BV
Schlagworte:	Airport gate allocation Airport planning Airports Algorithms Convergence Cooperative co-evolutionary algorithm Evolutionary algorithms Knapsack problem Multi-strategy Optimization Quantum-inspired evolutionary algorithm Rotation Searching Solution space Cooperative co-evolutionary algorithm Quantum-inspired evolutionary algorithm Airport gate allocation Multi-strategy Knapsack problem
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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