Prayogo, Doddy and HARSONO, KENNETH and PRASETYO, KELVIN EKO and Tjong, Wong Foek and Tjandra, Daniel (2019) Comparative Study of Particle Swarm Optimization Algorithms in Solving Size, Topology, and Shape Optimization. In: International Conference on Sustainable Infrastructure, 28-10-2019 - 28-10-2019, Yogyakarta - Indonesia.
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Abstract
This paper focuses on optimizing truss structures while propose best PSO variants. Truss optimization is one way to make the design efficient. There are three types of optimization, size optimization, shape optimization, and topology optimization. By combining size, shape and topology optimization, we can obtain the most efficient structure. Metaheuristics have the ability to solve this problem. Particle swarm optimization (PSO) is metaheuristic algorithm which is frequently used to solve many optimization problems. PSO mimics the behavior of flocking birds looking for food. But PSO has three parameters that can interfere with its performance, so this algorithm is not adaptive to diverse problems. Many PSO variants have been introduced to solve this problem, including linearly decreasing inertia weight particles swarm optimization (LDWPSO) and bare bones particles swarm optimization (BBPSO). The metaheuristic method is used to find the solution, while DSM s used to analyze the structure. A 10-bar truss structure and a 39-bar truss structure are considered as case studies. The result indicates that BBPSO beat other two algorithms in terms of best result, consistency, and convergence behavior in both cases. LDWPSO took second place for the three categories, leaving PSO as the worst algorithm that tested.
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | - |
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
Divisions: | Faculty of Civil Engineering and Planning > Civil Engineering Department |
Depositing User: | Admin |
Date Deposited: | 26 Aug 2020 04:33 |
Last Modified: | 23 Sep 2020 16:13 |
URI: | https://repository.petra.ac.id/id/eprint/19369 |
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