Affiliations: [a] Centre For Intelligent System Modelling, Department of Electrical and Electronic Engineering Science, University of Johannesburg, APK Campus, Johannesburg, Gauteng, South Africa | [b] School of Engineering (Computer Engineering Program), University of Pernambuco, Program, Brazil | [c] Department of Electrical and Electronic Engineering Science, University of Johannesburg, FEBE, APK Campus, Johannesburg, South Africa | [d] Office of the Deputy Vice Chancellor, University of Johannesburg, APK Campus, Johannesburg, South Africa
Correspondence:
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Corresponding author: F. De Lima Neto, School of Engineering (Computer Engineering Program), University of Pernambuco, Rua Benfica, 45-Madalena, 50.720-001, Recife/PE, Brazil/Department of Electrical and Electronic Engineering Science, University of Johannesburg, FEBE, APK Campus, Johannesburg, 2006, South Africa. E-mail:[email protected]
Abstract: A customized version of Fish School Search (FSS)
algorithm and the innovative volitive operator of FSS (which is incorporated
into the regular particle swarm optimization (PSO) algorithm) are applied to
the finite element model (FEM) updating problem. These algorithms are tested
on the updating of two real structures namely; an unsymmetrical H-shaped
beam and a GARTEUR SM-AG19 structure. The results thereof are compared with
results of two other metaheuristic algorithms: Genetic Algorithm (GA) and
Particle Swarm Optimization (PSO) on the same structures. The GA and PSO
algorithms being the most popular metaheuristic algorithms used in the model
updating area. It is observed that on average, the FSS and PSO algorithms
produce more accurate results than the GA. In this paper we confirm that the
FSSb (i.e. a customised version of the FSS algorithm, with minor
modifications) and the hybrid algorithm - the Volitive PSO (i.e. the
volitive operator of FSS into PSO) - are also more effective in this
optimization task, producing superior results when updating the underlining
Finite Element Model of both structures.
Keywords: Finite element model (FEM), fish school search (FSS), genetic algorithm (GA), particle swarm optimization (PSO), volitive PSO
