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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Vydáno v:	Expert systems with applications Ročník 171; s. 114629
Hlavní autoři:	Cai, Xing, Zhao, Huimin, Shang, Shifan, Zhou, Yongquan, Deng, Wu, Chen, Huayue, Deng, Wuquan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Elsevier Ltd 01.06.2021 Elsevier BV
Témata:	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
On-line přístup:	Získat plný text
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