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

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 c...

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Bibliographic Details
Published in:Applied Mathematical Modelling Vol. 55; p. 314
Main Authors: Du, Ting-Song, Ke, Xian-Ting, Jia-Liao, Shen, Yan-Jun
Format: Journal Article
Language:English
Published: New York Elsevier BV 01.03.2018
Subjects:
Benchmarks
Design engineering
Design optimization
Genetic algorithms
Heuristic methods
Insects
Optimization
Particle swarm optimization
Structural engineering
ISSN:1088-8691, 0307-904X
Online Access:Get full text
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Summary: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.
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ISSN:1088-8691
0307-904X
DOI:10.1016/j.apm.2017.08.013