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scopus(5)
A Chance-Constrained Nonlinear Programming Approach for Equipment Design Under Uncertainty
Book PartAbstract: In this work there are shown different strategies to cope uncertainty in large-scale chance-constraiPalabras claves:design, flares, sigmoid conditional value at risk, UNCERTAINTYAutores:Cao Y., Ponce-Ortega J.M., Tovar-Facio J., Víctor M. ZavalaFuentes:scopusMachine Learning Algorithms for Liquid Crystal-Based Sensors
ArticleAbstract: We present a machine learning (ML) framework to optimize the specificity and speed of liquid crystalPalabras claves:Automated, chemical sensors, Fast, Liquid crystals, Machine learningAutores:Abbott N.L., Cao Y., Víctor M. Zavala, Yu H.Fuentes:scopusOptimal PID controller tuning using stochastic programming techniques
ArticleAbstract: We argue that stochastic programming provides a powerful framework to tune and analyze the performanPalabras claves:PID CONTROL, Risk, robustness, stochastic programming, UNCERTAINTYAutores:Cao Y., Dowling A.W., Renteria J.A., Víctor M. ZavalaFuentes:scopusScalable Solution Strategies for Chance-Constrained Nonlinear Programs
ArticleAbstract: Probabilistic (chance) constraints are a powerful modeling paradigm that helps decision-makers contrPalabras claves:Autores:Cao Y., Ponce-Ortega J.M., Tovar-Facio J., Víctor M. ZavalaFuentes:scopusScalable modeling and solution of stochastic multiobjective optimization problems
ArticleAbstract: We present a scalable computing framework for the solution stochastic multiobjective optimization prPalabras claves:CVaR, large scale, Multiobjective, Optimization, stochasticAutores:Cao Y., Chen S., Fuentes-Cortés L.F., Víctor M. ZavalaFuentes:scopus