Quantum particles-enhanced multiple Harris Hawks swarms for dynamic optimization problems
作者：
Highlights：
• Harris Hawk Optimizer (HHO) is extended to deal with dynamic optimization.
• Multi-population HHO with exclusion operator is developed.
• Quantum particles are utilized to balance intensification and diversification.
• CEC 2009 dynamic test functions are used and extended.
• Different variants of multi-population HHO are tested.
• Improvements over the canonical HHO are achieved.
摘要
•Harris Hawk Optimizer (HHO) is extended to deal with dynamic optimization.•Multi-population HHO with exclusion operator is developed.•Quantum particles are utilized to balance intensification and diversification.•CEC 2009 dynamic test functions are used and extended.•Different variants of multi-population HHO are tested.•Improvements over the canonical HHO are achieved.
论文关键词：Dynamic optimization,Harris Hawk Optimizer,Multi-population,Global optimization,Real-valued optimization,Quantum particles
论文评审过程：Received 31 July 2020, Revised 27 October 2020, Accepted 30 October 2020, Available online 9 November 2020, Version of Record 10 February 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.114202
