.png){kind=icon}
Return
The Whale Optimization Algorithm
.png){kind=icon}
PRE
AI
DOI：10.1016/j.advengsoft.2016.01.008.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
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 hrtp://www.alimirjalili,com/WOA.html (C) 2016 Elsevier Ltd. All rights reserved.
Keywords:
Optimization
Benchmark
Constrained optimization
Particle swarm optimization
Algorithm
Heuristic algorithm
Genetic algorithm
Structural optimization
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
5.7
Papers:
3.3K
Citations:
1.2W
Organization
Cited Papers
.png){kind=icon}
ShareSaveShareSaveShareSave
View more