Enhanced whale optimization algorithm for sizing optimization of skeletal structures

被引：209

作者：

Kaveh, A. ^{[1
]}

Ghazaan, M. Ilchi ^{[1
]}

机构：

[1] Iran Univ Sci & Technol, Ctr Excellence Fundamental Studies Struct Engn, POB 16846-13114, Tehran, Iran

来源：

MECHANICS BASED DESIGN OF STRUCTURES AND MACHINES | 2017年 / 45卷 / 03期

基金：

美国国家科学基金会;

关键词：

Enhanced whale optimization algorithm (EWOA); frame structures; structural optimization; truss; structures; whale optimization algorithm (WOA); LEARNING-BASED OPTIMIZATION; HARMONY SEARCH; DIFFERENTIAL EVOLUTION; LAYOUT OPTIMIZATION; DESIGN OPTIMIZATION; TRUSS STRUCTURES; OPTIMUM DESIGN; ANT COLONY; SYSTEM;

D O I：

10.1080/15397734.2016.1213639

中图分类号：

O3 [力学];

学科分类号：

070301 [无机化学];

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.

引用

页码：345 / 362

页数：18

共 30 条

[1]

*AISC, 2001, MAN STEEL CONSTR LOA

[2]

American Institute of Steel Construction (AISC), 1989, Manual of steel construction-allowable stress design, V9th

[3]

SEVERAL EXAMPLES OF APPLICATION OF NASH AND PARETO APPROACHES TO MULTIOBJECTIVE STRUCTURAL OPTIMIZATION WITH UNCERTAINTIES [J].