SA-EVPS ALGORITHM FOR DISCRETE SIZE OPTIMIZATION OF THE 582-BAR SPATIAL TRUSS STRUCTURE

Paknahad, M. and Hosseini, P. and Hakim, S.J.S (2023) SA-EVPS ALGORITHM FOR DISCRETE SIZE OPTIMIZATION OF THE 582-BAR SPATIAL TRUSS STRUCTURE. INTERNATIONAL JOURNAL OF OPTIMIZATION IN CIVIL ENGINEERING, 13 (2). pp. 207-217.

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Abstract

Metaheuristic algorithms have become increasingly popular in recent years as a method for determining the optimal design of structures. Nowadays, approximate optimization methods are widely used. This study utilized the Self Adaptive Enhanced Vibrating Particle System (SA-EVPS) algorithm as an approximate optimization method, since the EVPS algorithm requires experimental parameters. As a well-known and large-scale structure, the 582-bar spatial truss structure was analyzed using the finite element method, and optimization processes were implemented using MATLAB. In order to obtain weight optimization, the self-adaptive enhanced vibration particle system (SA-EVPS) is compared with the EVPS algorithm.

Item Type: Article
Uncontrolled Keywords: Size optimization; Self-Adaptive algorithm; SA-EVPS algorithm; 582-bar spatial truss; discrete optimization problems.
Subjects: Q Science > QA Mathematics > QA273-280 Probabilities. Mathematical statistics
Divisions: Faculty of Civil Engineering and Built Environment > Department of Architecture
Depositing User: Mr. Mohamad Zulkhibri Rahmad
Date Deposited: 22 Feb 2023 02:18
Last Modified: 22 Feb 2023 02:18
URI: http://eprints.uthm.edu.my/id/eprint/8361

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