DSLC-FOA : Improved fruit fly optimization algorithm for application to structural engineering design optimization problems

被引:50
|
作者
Du, Ting-Song [1 ,2 ]
Ke, Xian-Ting [1 ]
Liao, Jia-Gen [1 ]
Shen, Yan-Jun [3 ]
机构
[1] China Three Gorges Univ, Dept Math, Coll Sci, Yichang 443002, Peoples R China
[2] Wuhan Univ Sci & Technol, Hubei Prov Key Lab Syst Sci Met Proc, Wuhan 430081, Hubei, Peoples R China
[3] China Three Gorges Univ, Hubei Prov Collaborat Innovat Ctr New Energy Micr, Yichang 443002, Peoples R China
基金
中国国家自然科学基金;
关键词
Linear diminishing step; Logistic chaotic mapping; Nonlinear constraint; Structural engineering design optimization problem; PARTICLE SWARM OPTIMIZATION; HARMONY SEARCH ALGORITHM; EVOLUTIONARY; INTEGER; MODEL; CHAOS;
D O I
10.1016/j.apm.2017.08.013
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this study, we propose an improved fruit fly optimization algorithm (FOA) based on linear diminishing step and logistic chaos mapping (named DSLC-FOA) for solving benchmark function unconstrained optimization problems and constrained structural engineering design optimization problems. Based on comparisons with genetic algorithm, particle swarm optimization, FOA, LGMS-FOA, and chaotic FOA methods, we demonstrated that DSLC-FOA performed better at searching for the optimal solutions of four typical benchmark functions. The approximate optimal results were obtained using DSLC-FOA for three structural engineering design optimization problems as examples of applications. The numerical results demonstrated that the proposed DSLC-FOA algorithm is superior to the basic FOA and other metaheuristic or deterministic methods. (C) 2017 Elsevier Inc. All rights reserved.
引用
收藏
页码:314 / 339
页数:26
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