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

作者：

Highlights：

• 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 multi-objective optimization model is established.

• An airport gate allocation optimization method based on the MSQCCEA is proposed.

摘要

•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 multi-objective optimization model is established.•An airport gate allocation optimization method based on the MSQCCEA is proposed.

论文关键词：Quantum-inspired evolutionary algorithm,Cooperative co-evolutionary algorithm,Multi-strategy,Knapsack problem,Airport gate allocation

论文评审过程：Received 7 November 2019, Revised 14 January 2021, Accepted 17 January 2021, Available online 23 January 2021, Version of Record 2 February 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114629