Particle swarm optimization (PSO) is a classical metaheuristic algorithm. The initial form of PSO may not suitable for several optimization problems of structural engineering. A basic modification of PSO is the usage of an inertia function in order to adjust the contribution of existing values of the velocity. In several problems, the inertia function is necessary in order to keep the candidate possible solution in a possible range without an extreme increase of the velocity value. This situation is proved by employing PSO for a basic topology optimization of a truss structure. The problem is solved by using constant inertia functions from 0.1 to 1 with 0.1 increments. The inertia function is crucially effective in the performance, sensibility and computational.
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10 July 2018
INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2017)
25–30 September 2017
Thessaloniki, Greece
Research Article|
July 10 2018
The effect of usage of inertia function in particle swarm optimization
Sinan Melih Nigdeli;
1
Department of Civil Engineering, Istanbul University
, 34320 Avcılar/Istanbul/Turkey
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Gebrail Bekdaş;
Gebrail Bekdaş
1
Department of Civil Engineering, Istanbul University
, 34320 Avcılar/Istanbul/Turkey
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Barış Sayın
Barış Sayın
1
Department of Civil Engineering, Istanbul University
, 34320 Avcılar/Istanbul/Turkey
Search for other works by this author on:
Sinan Melih Nigdeli
1
Gebrail Bekdaş
1
Barış Sayın
1
1
Department of Civil Engineering, Istanbul University
, 34320 Avcılar/Istanbul/Turkey
AIP Conf. Proc. 1978, 260007 (2018)
Citation
Sinan Melih Nigdeli, Gebrail Bekdaş, Barış Sayın; The effect of usage of inertia function in particle swarm optimization. AIP Conf. Proc. 10 July 2018; 1978 (1): 260007. https://doi.org/10.1063/1.5043892
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