Mostrando 10 resultados de: 82
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scopus(82)
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:scopusA Coordinated Framework for the Optimization of Municipal Solid Waste Management
Book PartAbstract: The lack of collection and processing infrastructure for waste management in developing countries isPalabras claves:coordinated markets, STAKEHOLDERS, TAXATION, Waste managementAutores:Munguía-López A.d.C., Ponce-Ortega J.M., Santibañez-Aguilar J.E., Víctor M. ZavalaFuentes:scopusA Supply Chain Framework for the Analysis of the Recovery of Biogas and Fatty Acids from Organic Waste
ArticleAbstract: We present a supply chain optimization framework to analyze economic and environmental benefits of rPalabras claves:biogas, fatty acid, Optimization, organic waste, supply chainAutores:Aguirre-Villegas H.A., Hu Y., Larson R.A., Noguera D.R., Scarborough M., Víctor M. ZavalaFuentes:scopusA computational framework for identifiability and ill-conditioning analysis of lithium-ion battery models
ArticleAbstract: The lack of informative experimental data and the complexity of first-principles battery models makePalabras claves:Autores:Flores-Tlacuahuac A., López D.C., Vasquez-Medrano R., Víctor M. Zavala, Wozny G.Fuentes:scopusA dynamic penalty approach to state constraint handling in deep reinforcement learning
ArticleAbstract: Deep reinforcement learning (RL) has emerged as a promising approach to solving sequential optimizatPalabras claves:Constraint handling, Dynamic penalty, Penalty approach, reinforcement learningAutores:Lee J.H., Víctor M. Zavala, Yoo H.Fuentes:scopusA dynamic penalty function approach for constraint-handling in reinforcement learning
Conference ObjectAbstract: Reinforcement learning (RL) is attracting attention as an effective way to solve sequential optimizaPalabras claves:Constraints, Dynamic penalty, Penalty approach, reinforcement learningAutores:Lee J.H., Víctor M. Zavala, Yoo H.Fuentes:scopusA fast computational framework for large-scale Moving Horizon Estimation
Conference ObjectAbstract: Moving Horizon Estimation (MHE) is an efficient optimization-based strategy for state estimation. DePalabras claves:Discretization, Estimation algorithms, finite elements, nonlinear programming, real-time, Sensitivity AnalysisAutores:Biegler L.T., Laird C.D., Víctor M. ZavalaFuentes:scopusA fast moving horizon estimation algorithm based on nonlinear programming sensitivity
ArticleAbstract: Moving horizon estimation (MHE) is an efficient optimization-based strategy for state estimation. DePalabras claves:Estimation algorithms, Large-scale, nonlinear programming, real-time, Sensitivity AnalysisAutores:Biegler L.T., Laird C.D., Víctor M. ZavalaFuentes:scopusA framework for multi-stakeholder decision-making and conflict resolution
ArticleAbstract: We propose a decision-making framework to compute compromise solutions that balance conflicting prioPalabras claves:Compromise, Conditional value-at-risk, Multi-stakeholder, Multiobjective, Optimization, Pareto optimalityAutores:Dowling A.W., Ruiz-Mercado G.J., Víctor M. ZavalaFuentes:scopusA game-theoretical model predictive control framework for electricity markets
Conference ObjectAbstract: We present a game-theoretical model predictive control (MPC) framework for competitive electricity mPalabras claves:Autores:Kannan A., Víctor M. ZavalaFuentes:scopus