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A novel strategy to restore power systems after a great blackout: The Argentinean case
(Elsevier, 2021-09)
This paper presents a multi-objective mathematical model to perform power restoration. It considers simultaneously the objective functions: restoration time, load shedding, and cost. New formulations are developed to improve ...
THE OPTIMAL STEIN ESTIMATION RELATIVE TO CONCENTRATION PROBABILITY – A LARGE SAMPLE APPROXIMATIONTHE OPTIMAL STEIN ESTIMATION RELATIVE TO CONCENTRATION PROBABILITY – A LARGE SAMPLE APPROXIMATION
(Departamento de Matemática Aplicada. Facultad de Matemática y Computación. Universidad de La Habana, 2023)
Distributed Newton Optimization With Maximized Convergence Rate
(Institute of Electrical and Electronics Engineers, 2021)
Ant colony optimization for variable selection in discriminant linear analysis
(John Wiley & Sons Ltd, 2020-08)
A new algorithm using ant colony optimization (ACO) for selection of variables in linear discriminant analysis (LDA) is presented. The role of ACO is explored in the context of LDA classification in which spectral variable ...
Predictive control for networked systems affected by correlated packet loss
(John Wiley & Sons Ltd, 2017-08)
In this paper, we consider the predictive control problem of designing receding horizon controllers for networked linear systems subject to random packet loss in the controller to actuator link. The packet dropouts are ...
Self-Optimizing Control Structures with Minimum Number of Process-Dependent Controlled Variables
(American Chemical Society, 2014-04)
In order to operate continuous processes near the economically optimal steady-state operating point, selfoptimizing control schemes reformulate the optimization problem as a process control problem. The objective is to ...
Heuristic method for the optimal synthesis and design of batch plants considering mixed product campaigns
(American Chemical Society, 2007-04)
In this paper, a heuristic method is presented for the simultaneous solution of the synthesis and design problems of batch plants. A detailed nonlinear program (NLP) model is developed that considers a superstructure to ...
A variational shape optimization approach for image segmentation with a Mumford-Shah functional
(Society for Industrial and Applied Mathematics, 2008-12)
We introduce a novel computational method for a Mumford-Shah functional, which decomposes a given image into smooth regions separated by closed curves. Casting this as a shape optimization problem, we develop a gradient ...