The Whale Optimization Algorithm

•The Whale Optimization Algorithm inspired by humpback whales is proposed.•The WOA algorithm is benchmarked on 29 well-known test functions.•The results on the unimodal functions show the superior exploitation of WOA.•The exploration ability of WOA is confirmed by the results on multimodal functions...

Full description

Saved in:
Bibliographic Details
Published in:Advances in engineering software (1992) Vol. 95; pp. 51 - 67
Main Authors: Mirjalili, Seyedali, Lewis, Andrew
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.05.2016
Subjects:
Algorithm
Algorithms
Benchmark
Computer programs
Constrained optimization
Genetic algorithm
Heuristic algorithm
Heuristic methods
Hunting
Mathematical analysis
Optimization
Particle swarm optimization
Strategy
Structural optimization
Whales
Structural optimization
Heuristic algorithm
Genetic algorithm
Benchmark
Particle swarm optimization
Algorithm
Optimization
Constrained optimization
ISSN:0965-9978
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:•The Whale Optimization Algorithm inspired by humpback whales is proposed.•The WOA algorithm is benchmarked on 29 well-known test functions.•The results on the unimodal functions show the superior exploitation of WOA.•The exploration ability of WOA is confirmed by the results on multimodal functions.•The results on structural design problems confirm the performance of WOA in practice. This paper proposes a novel nature-inspired meta-heuristic optimization algorithm, called Whale Optimization Algorithm (WOA), which mimics the social behavior of humpback whales. The algorithm is inspired by the bubble-net hunting strategy. WOA is tested with 29 mathematical optimization problems and 6 structural design problems. Optimization results prove that the WOA algorithm is very competitive compared to the state-of-art meta-heuristic algorithms as well as conventional methods. The source codes of the WOA algorithm are publicly available at http://www.alimirjalili.com/WOA.html
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0965-9978
DOI:10.1016/j.advengsoft.2016.01.008