LARO: Opposition-Based Learning Boosted Artificial Rabbits-Inspired Optimization Algorithm with Lévy Flight

LARO: Opposition-Based Learning Boosted Artificial Rabbits-Inspired Optimization Algorithm with Lévy Flight

The artificial rabbits optimization (ARO) algorithm is a recently developed metaheuristic (MH) method motivated by the survival strategies of rabbits with bilateral symmetry in nature. Although the ARO algorithm shows competitive performance compared with popular MH algorithms, it still has poor con...

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Bibliographic Details
Main Authors: Yuanyuan Wang, Liqiong Huang, Jingyu Zhong, Gang Hu
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Symmetry
Subjects:
artificial rabbits optimization
Lévy flight
selective opposition
benchmark
engineering optimization
Online Access:https://www.mdpi.com/2073-8994/14/11/2282

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