A novel metaheuristic optimizer inspired by behavior of jellyfish in ocean

•An artificial Jellyfish Search (JS) optimizer inspired by jellyfish behavior is proposed.•JS has only two control parameters, which are population size and number of iterations.•The new algorithm is successfully tested on benchmark functions and optimization problems.•JS optimizer outperforms well-...

Full description

Bibliographic Details

Published in:	Applied mathematics and computation Vol. 389; p. 125535
Main Authors:	Chou, Jui-Sheng, Truong, Dinh-Nhat
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 15.01.2021
Subjects:	Benchmark functions Bio-inspired swarm intelligence Design of metaheuristic algorithm Engineering design Jellyfish search optimizer Numerical computation Benchmark functions Engineering design Numerical computation Jellyfish search optimizer Bio-inspired swarm intelligence Design of metaheuristic algorithm
ISSN:	0096-3003, 1873-5649
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!