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Finite-element model updating using swarm intelligence algorithms
Ilyes Boulkaibet
, Fernando Buarque De Lima Neto
,
Tshilidzi Marwala
, Bhekisipho Twala
Faculty of Engineering and the Built Environment
University of Johannesburg
Universidade de Pernambuco
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Keyphrases
Numerical Model
100%
Finite Element Model Updating
100%
Model Updating
100%
Finite Element Model
100%
Swarm Intelligence Algorithm
100%
Genetic Algorithm
66%
Structural System
66%
Ant Colony Optimization
66%
Update Mechanism
66%
Mass-spring System
66%
Five-degree-of-freedom
66%
Optimization Problem
33%
Unsymmetrical
33%
Modeling Process
33%
Particle Swarm Optimization
33%
H-shaped Structure
33%
Particle Swarm Optimization Algorithm
33%
Mechanical Structure
33%
Multi-objective Problem
33%
Nature-inspired Optimization
33%
Multi-objective Particle Swarm Optimization (MOPSO)
33%
Fish School Search
33%
Multi-objective PSO
33%
Artificial Fish School Algorithm
33%
Real Measurements
33%
Engineering
Finite Element Modeling
100%
Swarm Intelligence
100%
Particle Swarm Optimization
75%
Numerical Model
75%
Model Parameter
50%
Degree of Freedom
50%
Genetic Algorithm
50%
Ant Colony Optimization
50%
Structural System
50%
Mass-Spring System
50%
Optimisation Problem
25%
Experimental Result
25%
Search Algorithm
25%
Experimental Measurement
25%
Multiobjective Problem
25%
Mechanical Structure
25%
Biochemistry, Genetics and Molecular Biology
Genetic Algorithm
100%
Fish School
100%
Material Science
Finite Element Modeling
100%