Adaptive dimensional search: A new metaheuristic algorithm for discrete truss sizing optimization

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Date

2015

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Pergamon-elsevier Science Ltd

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Department of Civil Engineering
Civil Engineering Department of Atılım University, this opportunity can be attained by two Master of Science programs (with thesis or non-thesis). These programs are divided into the following subdivisions: 1) Construction Management, 2) Materials of Construction, 3) Geotechnical Engineering, 4) Hydromechanics and Water Resources Engineering, 5) Structural Engineering and Mechanics, and 6) Transportation Engineering. So, you can find among these alternatives, a subdiscipline that focuses on your interests and allows you to work toward your career goals. Civil Engineering Department of Atılım University which has a friendly faculty comprised of members with degrees from renowned international universities, laboratories for both educational and research purposes, and other facilities like computer infrastructure and classrooms well-suited for a good graduate education.

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Abstract

In the present study a new metaheuristic algorithm called adaptive dimensional search (ADS) is proposed for discrete truss sizing optimization problems. The robustness of the ADS lies in the idea of updating search dimensionality ratio (SDR) parameter online during the search for a rapid and reliable convergence towards the optimum. In addition, several alternative stagnation-control strategies are integrated with the algorithm to escape from local optima, in which a limited uphill (non-improving) move is permitted when a stagnation state is detected in the course of optimization. Besides a remarkable computational efficiency, the ease of implementation and capability of locating promising solutions for challenging instances of practical design optimization are amongst the remarkable features of the proposed algorithm. The efficiency of the ADS is investigated and verified using two benchmark examples as well as three real-world problems of discrete sizing truss optimization. A comparison of the numerical results obtained using the ADS with those of other metaheuristic techniques indicates that the proposed algorithm is capable of locating improved solutions using much lesser computational effort. (C) 2015 Elsevier Ltd. All rights reserved.

Description

Hasançebi, Oğuzhan/0000-0002-5501-1079; Kazemzadeh Azad, Saeid/0000-0001-9309-607X

Keywords

Structural optimization, Optimal design, Metaheuristic techniques, Discrete variables, Sizing optimization, Steel truss structures

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Citation

92

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Source

Volume

154

Issue

Start Page

1

End Page

16

URI

https://doi.org/10.1016/j.compstruc.2015.03.014
 https://hdl.handle.net/20.500.14411/819

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