4.7 Article

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

期刊

APPLIED MATHEMATICAL MODELLING
卷 55, 期 -, 页码 314-339

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.apm.2017.08.013

关键词

Linear diminishing step; Logistic chaotic mapping; Nonlinear constraint; Structural engineering design optimization problem

资金

  1. National Natural Science Foundation of China [61374028]
  2. Hubei Province Key Laboratory of Systems Science in Metallurgical Process of China [Z201402]
  3. Natural Science Foundation of Hubei Province, China [2013CFA131]

向作者/读者索取更多资源

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.

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