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-Ceniceros, Andrés Sanz-García, Alpha Pernía-Espinoza, Francisco Javier Martínez de Pisón. 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. In Hugo Sanjurjo-González, Iker Pastor-López, Pablo García Bringas, Héctor Quintián, Emilio Corchado, editors, Hybrid Artificial Intelligent Systems - 16th International Conference, HAIS 2021, Bilbao, Spain, September 22-24, 2021, Proceedings. Volume 12886 of Lecture Notes in Computer Science, pages 15-26, Springer, 2021. [doi]

Abstract

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