Egret Swarm Optimization Algorithm: An Evolutionary Computation Approach for Model Free Optimization
Egret Swarm Optimization Algorithm: An Evolutionary Computation Approach for Model Free Optimization
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.
10 pages, 5 figures, 6 tables. Source code used for this work is available online: see https://github.com/Knightsll/Egret_Swarm_Optimization_Algorithm and https://ww2.mathworks.cn/matlabcentral/fileexchange/115595-egret-swarm-optimization-algorithm-esoa. This paper has been submitted to MDPI mathematics
FOS: Computer and information sciences, 68T05: Evolutionary algorithms, genetic algorithms (computational aspects), see also 68T20 and 90C59, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE)
FOS: Computer and information sciences, 68T05: Evolutionary algorithms, genetic algorithms (computational aspects), see also 68T20 and 90C59, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE)
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!