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-...

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Vydáno v:	Applied mathematics and computation Ročník 389; s. 125535
Hlavní autoři:	Chou, Jui-Sheng, Truong, Dinh-Nhat
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Inc 15.01.2021
Témata:	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
On-line přístup:	Získat plný text
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