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Improving Steel Industrial Processes Using Genetic Algorithms and Finite Element Method.

, , , and . SOCO, volume 87 of Advances in Intelligent and Soft Computing, page 233-241. Springer, (2011)

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Application of Genetic Algorithms to Optimize a Truncated Mean k-Nearest Neighbours Regressor for Hotel Reservation Forecasting., , , and . HAIS (1), volume 7208 of Lecture Notes in Computer Science, page 79-90. Springer, (2012)Work-in-Progress: Building Up Employability Skills and Social Responsibility in the University of La Rioja Industrial Engineering Degrees., , , , and . ICL (2), volume 634 of Lecture Notes in Networks and Systems, page 283-290. Springer, (2022)Improving Hotel Room Demand Forecasting with a Hybrid GA-SVR Methodology Based on Skewed Data Transformation, Feature Selection and Parsimony Tuning., , , , and . HAIS, volume 9121 of Lecture Notes in Computer Science, page 632-643. Springer, (2015)Multilayer-Perceptron Network Ensemble Modeling with Genetic Algorithms for the Capacity of Bolted Lap Joint., , , and . HAIS (1), volume 7208 of Lecture Notes in Computer Science, page 545-556. Springer, (2012)Parsimonious Support Vector Machines Modelling for Set Points in Industrial Processes Based on Genetic Algorithm Optimization., , , and . SOCO-CISIS-ICEUTE, volume 239 of Advances in Intelligent Systems and Computing, page 1-10. Springer, (2013)Genetic Algorithms Combined with the Finite Elements Method as an Efficient Methodology for the Design of Tapered Roller Bearings., , , and . SOCO, volume 87 of Advances in Intelligent and Soft Computing, page 243-252. Springer, (2011)Improving Steel Industrial Processes Using Genetic Algorithms and Finite Element Method., , , and . SOCO, volume 87 of Advances in Intelligent and Soft Computing, page 233-241. Springer, (2011)Technical projects with social commitment for teaching-learning intervention in STEM students., , , , and . EDUCON, page 579-586. IEEE, (2020)An Algorithm Based on Satellite Observations to Quality Control Ground Solar Sensors: Analysis of Spanish Meteorological Networks., , , , and . HAIS, volume 10870 of Lecture Notes in Computer Science, page 609-621. Springer, (2018)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., , , and . HAIS, volume 12886 of Lecture Notes in Computer Science, page 15-26. Springer, (2021)