Volume 12, Issue 3 (4-2022)
IJOCE 2022, 12(3): 335-364 |
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Kaveh A, Hosseini S M. DISCRETE AND CONTINUOUS SIZING OPTIMIZATION OF LARGE-SCALE TRUSS STRUCTURES USING DE-MEDT ALGORITHM. IJOCE 2022; 12 (3) :335-364
URL: http://ijoce.iust.ac.ir/article-1-522-en.html
URL: http://ijoce.iust.ac.ir/article-1-522-en.html
Abstract: (8732 Views)
Design optimization of structures with discrete and continuous search spaces is a complex optimization problem with lots of local optima. Metaheuristic optimization algorithms, due to not requiring gradient information of the objective function, are efficient tools for solving these problems at a reasonable computational time. In this paper, the Doppler Effect-Mean Euclidian Distance Threshold (DE-MEDT) metaheuristic algorithm is applied to solve the discrete and continuous optimization problems of the truss structures subject to multiple loading conditions and design constraints. DE-MEDT algorithm is a recently proposed metaheuristic developed based on a physical phenomenon called Doppler Effect (DE) with some idealized rules and a mechanism called Mean Euclidian Distance Threshold (MEDT). The efficiency of the DE-MEDT algorithm is evaluated by optimizing five large-scale truss structures with continuous and discrete variables. Comparing the results found by the DE-MEDT algorithm with those of other existing metaheuristics reveals that the DE-MEDT optimizer is a suitable optimization technique for discrete and continuous design optimization of large-scale truss structures.
Keywords: metaheuristics, Doppler effect, mean Euclidian distance threshold mechanism, discrete optimization, continuous optimization, truss structures.
Type of Study: Research |
Subject:
Optimal design
Received: 2022/04/21 | Accepted: 2022/04/21 | Published: 2022/04/21
Received: 2022/04/21 | Accepted: 2022/04/21 | Published: 2022/04/21
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