PSO-PARSIMONY: A New Methodology for Searching for Accurate and Parsimonious Models with Particle Swarm Optimization. Application for Predicting the Force-Displacement Curve in T-stub Steel Connections.
Julio Fernández-CenicerosAndrés Sanz-GarcíaAlpha V. Pernía-EspinozaFrancisco Javier Martínez de PisónPublished in: HAIS (2021)
Keyphrases
- particle swarm optimization
- pso algorithm
- particle swarm optimization pso
- particle swarm optimization algorithm
- accurate models
- model driven
- particle swarm optimizer
- metaheuristic
- statistical models
- global optimization
- particle swarm
- modeling framework
- hybrid algorithm
- convergence speed
- swarm intelligence
- pid controller
- inertia weight
- spatial clustering with obstacles constraints
- mathematical models
- neural network
- experimental data
- complex systems
- model selection
- high accuracy
- probabilistic model
- high quality
- genetic algorithm