Title :
Finite Element Model Updating Using Fish School Search Optimization Method
Author :
Boulkabeit, Ilyes ; Mthembu, Linda ; Marwala, Tshilidzi ; Buarque De Lima Neto, Fernando
Author_Institution :
Electr. & Electron. Eng. Dept., Univ. of Johannesburg, Johannesburg, South Africa
Abstract :
A recent nature inspired optimization algorithm, Fish School Search (FSS) is applied to the finite element model (FEM) updating problem. This method is tested on a GARTEUR SM-AG19 aeroplane structure. The results of this algorithm are compared with two other metaheuristic algorithms, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). It is observed that on average, the FSS and PSO algorithms give more accurate results than the GA. A minor modification to the FSS is proposed. This modification improves the performance of FSS on the FEM updating problem which has a constrained search space.
Keywords :
finite element analysis; genetic algorithms; search problems; FEM updating problem; FSS; GARTEUR SM-AG19 aeroplane structure; PSO algorithms; constrained search space; finite element model; fish school search optimization method; genetic algorithm; metaheuristic algorithms; minor modification; nature inspired optimization algorithm; particle swarm optimization; Educational institutions; Finite element analysis; Frequency selective surfaces; Genetic algorithms; Marine animals; Mathematical model; Vectors; Finite Element Model (FEM); Fish School Search (FSS); Genetic Algorithm (GA); Particle Swarm Optimization (PSO);
Conference_Titel :
Computational Intelligence and 11th Brazilian Congress on Computational Intelligence (BRICS-CCI & CBIC), 2013 BRICS Congress on
Conference_Location :
Ipojuca
DOI :
10.1109/BRICS-CCI-CBIC.2013.80
