Egret Swarm Optimization Algorithm: An Evolutionary Computation Approach for Model Free Optimization

July 29, 2022 · Entered Twilight · 🏛 Biomimetics

Repo contents: Application_ana.py, Comparison_in_Paper.py, ESO.py, ESOA_matlab_toolbox.zip, EvoloPy-master, Generate_table.py, TypicalApplication.py, __pycache__, a0.py, algorithm_collections.py, diagram_in_paper.py, result, testFunc.py

Authors Zuyan Chen, Adam Francis, Shuai Li, Bolin Liao, Dunhui Xiao arXiv ID 2207.14667 Category cs.NE: Neural & Evolutionary Citations 106 Venue Biomimetics Repository https://github.com/Knightsll/Egret_Swarm_Optimization_Algorithm ⭐ 5 Last Checked 1 month ago

Abstract

A novel meta-heuristic algorithm, Egret Swarm Optimization Algorithm (ESOA), is proposed in this paper, which is inspired by two egret species' (Great Egret and Snowy Egret) hunting behavior. ESOA consists of three primary components: Sit-And-Wait Strategy, Aggressive Strategy as well as Discriminant Conditions. The performance of ESOA on 36 benchmark functions as well as 2 engineering problems are compared with Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Differential Evolution (DE), Grey Wolf Optimizer (GWO), and Harris Hawks Optimization (HHO). The result proves the superior effectiveness and robustness of ESOA. The source code used in this work can be retrieved from https://github.com/Knightsll/Egret_Swarm_Optimization_Algorithm; https://ww2.mathworks.cn/matlabcentral/fileexchange/115595-egret-swarm-optimization-algorithm-esoa.