尺寸
鲸鱼
元启发式
趋同(经济学)
数学优化
优化算法
计算机科学
粒子群优化
桁架
多群优化
算法
最优化问题
数学
工程类
结构工程
渔业
生物
艺术
经济
视觉艺术
经济增长
作者
A. Kaveh,Majid Ilchi Ghazaan
标识
DOI:10.1080/15397734.2016.1213639
摘要
The whale optimization algorithm (WOA) is a recently developed swarm-based optimization algorithm inspired by the hunting behavior of humpback whales. This study attempts to enhance the original formulation of the WOA in order to improve solution accuracy, reliability and convergence speed. The new method, called enhanced whale optimization algorithm (EWOA), is tested in sizing optimization problems of truss and frame structures. The EWOA is compared with WOA and other metaheuristic methods developed in literature in four optimization problems of skeletal structures. Numerical results demonstrate the efficiency of the EWOA and WOA with the former algorithm being more efficient than its standard version.
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