鲸鱼
元启发式
计算机科学
启发式
算法
数学优化
优化算法
数学
人工智能
渔业
生物
作者
Seyedali Mirjalili,Andrew Lewis
标识
DOI:10.1016/j.advengsoft.2016.01.008
摘要
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
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