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Optimization models for a lot sizing and scheduling problem on parallel production lines that share scarce resources
(2021-05-01)
The purpose of this paper is to propose mathematical models to represent a lot sizing and scheduling problem on multiple production lines that share scarce resources and to investigate the computational performance of the ...
Multivariable control structure design based on mixed-integer quadratic programming
(American Chemical Society, 2017-09)
In this work a new approach to address multivariable control structure (MCS) design for medium/large-scale processes is proposed. The classical MCS design methodologies rely on superstructure representations which define ...
Effects of binary variables in mixed integer linear programming based unit commitment in large-scale electricity markets
(Elsevier Science SA, 2018-07)
Mixed integer linear programming is one of the main approaches used to solve unit commitment problems. Due to the computational complexity of unit commitment problems, several researches remark the benefits of using less ...
An Efficient Methodology for Locating and Sizing PV Generators in Radial Distribution Networks Using a Mixed-Integer Conic Relaxation
(Cartagena de Indias, 2022-07-27)
This paper proposes a new solution methodology based on a mixed-integer conic formulation to locate and size photovoltaic (PV) generation units in AC distribution networks with a radial structure. The objective function ...
Network-Constrained Multiperiod Auction for Pool-Based Electricity Markets of Hydrothermal Systems
(Ieee-inst Electrical Electronics Engineers Inc, 2017-11-01)
Network-constrained market clearing procedures in pool-based electricity markets of hydropower systems have traditionally neglected the constraints associated with physical and operating aspects of hydroelectric generation ...
Ellipsoidal methods for adaptive choice-based conjoint analysis
(INFORMS Inst.for Operations Res.and the Management Sciences, 2019)
© 2019 INFORMS.Questionnaires for adaptive choice-based conjoint analysis aim at minimizing some measure of the uncertainty associated with estimates of preference parameters (e.g., partworths). Bayesian approaches to ...
Optimal switch allocation for automatic load transfer in distribution substations
(2011-10-05)
This work proposes a methodology for optimized allocation of switches for automatic load transfer in distribution systems in order to improve the reliability indexes by restoring such systems which present voltage classes ...
Optimal switch allocation for automatic load transfer in distribution substations
(2011-10-05)
This work proposes a methodology for optimized allocation of switches for automatic load transfer in distribution systems in order to improve the reliability indexes by restoring such systems which present voltage classes ...