A hierarchical guidance strategy assisted fruit fly optimization algorithm with cooperative learning mechanism
作者：
Highlights：
• A novel cooperative learning fruit fly optimization algorithm (HGCLFOA) is proposed.
• The hierarchical guidance strategy for local search is implemented in the olfactory search.
• The inferior solution repairing (ISR) strategy is employed to modify the search direction.
• The hybrid GEDA with previous information is applied to guide the evolution in vision search.
• A probability selection strategy based on feedback of objective space is introduced.
摘要
•A novel cooperative learning fruit fly optimization algorithm (HGCLFOA) is proposed.•The hierarchical guidance strategy for local search is implemented in the olfactory search.•The inferior solution repairing (ISR) strategy is employed to modify the search direction.•The hybrid GEDA with previous information is applied to guide the evolution in vision search.•A probability selection strategy based on feedback of objective space is introduced.
论文关键词：Fruit fly optimization algorithm,Gaussian distribution estimation algorithm,Hierarchical guidance,Cooperative learning mechanism
论文评审过程：Received 3 July 2020, Revised 12 March 2021, Accepted 2 June 2021, Available online 8 June 2021, Version of Record 15 June 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.115342
