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The Whale Optimization Algorithm
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DOI：10.1016/j.advengsoft.2016.01.008.png)
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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.
Keyword:
Optimization
Benchmark
Constrained optimization
Particle swarm optimization
Algorithm
Heuristic algorithm
Genetic algorithm
Structural optimization
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