Equilibrium optimizer: A novel optimization algorithm

作者：

Highlights：

• Developed a novel optimization algorithm inspired by mass balance models.

• Tested EO against well-studied mathematical and engineering benchmarks.

• Compared the algorithm to other well-known meta-heuristics.

• Demonstrated effectiveness and superiority of the proposed method.

摘要

•Developed a novel optimization algorithm inspired by mass balance models.•Tested EO against well-studied mathematical and engineering benchmarks.•Compared the algorithm to other well-known meta-heuristics.•Demonstrated effectiveness and superiority of the proposed method.

论文关键词：Optimization,Metaheuristic,Genetic algorithm,Particle Swarm Optimization,Physics-based

论文评审过程：Received 14 June 2019, Revised 28 October 2019, Accepted 3 November 2019, Available online 6 November 2019, Version of Record 8 February 2020.

论文官网地址：https://doi.org/10.1016/j.knosys.2019.105190