Orca predation algorithm: A novel bio-inspired algorithm for global optimization problems
作者：
Highlights：
• Inspired by the predatory behavior of orcas, a novel algorithm OPA is proposed.
• The models of driving, encircling, attacking and adjusting are established in OPA.
• The proposed OPA is evaluated on 67 benchmarks functions.
• The performance of OPA is also tested by 4 engineering design problems.
• The results show the merits of OPA as compared to 8 well-established algorithms.
摘要
•Inspired by the predatory behavior of orcas, a novel algorithm OPA is proposed.•The models of driving, encircling, attacking and adjusting are established in OPA.•The proposed OPA is evaluated on 67 benchmarks functions.•The performance of OPA is also tested by 4 engineering design problems.•The results show the merits of OPA as compared to 8 well-established algorithms.
论文关键词：Bio-inspired metaheuristics,Optimization,Exploration and exploitation,Global optimization,Benchmark test functions
论文评审过程：Received 15 April 2021, Revised 10 August 2021, Accepted 1 October 2021, Available online 11 October 2021, Version of Record 21 October 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.116026
