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Feasibility and cost minimisation for a lithium extraction problem
(Elsevier Ltd, 2019)
In this paper we address the problem of allocating extraction pumps to wells, when exploiting lithium rich brines, as part of the production of lithium salts. The problem of choosing the location of extraction wells is ...
Feasibility and cost minimisation for a lithium extraction problem
(Elsevier, 2020)
In this paper we address the problem of allocating extraction pumps to wells, when exploiting lithium rich brines, as part of the production of lithium salts. The problem of choosing the location of extraction wells is ...
Feasibility and Cost Minimisation for a Lithium Extraction Problem
(2019)
In this paper we address the problem of allocating extraction pumps to wells, when exploiting lithium rich brines, as part of the production of lithium salts. The problem of choosing the location of extraction wells is ...
Optimisation-based Switch Allocation To Improve Energy Losses And Service Restoration In Radial Electrical Distribution Systems
(Inst Engineering Technology-IETHertford, 2016)
Optimisation-based switch allocation to improve energy losses and service restoration in radial electrical distribution systems
(2016-08-04)
This study presents a newmethodology for the optimal allocation of switching devices in radial electrical distribution systems (EDSs). A specialised greedy randomised adaptive search procedure (GRASP) algorithm defines the ...
Short-term operation of a distribution company: A pseudo-dynamic tabu search-based optimisation
(Inst Engineering Technology-iet, 2018-07-10)
This work presents a probabilistic sequential framework for short-term operation of distribution companies (DisCos) participating in the day-ahead (DA) and real-time (RT) markets. In the proposed framework, the DisCo's ...
Problemes d'optimisatión globale en statistique robuste
(2011)
Robust statistics is a branch of statistics dealing with the analysis of data containing contarninated observations. The robustness of an estirnator is rnea.sured notably by means of the br-eakrlown po'int. High-breakdown ...
Bayesian plug & play methods for inverse problems in imaging.
(Université de Paris : Udelar.FI., 2021)
This thesis deals with Bayesian methods for solving ill-posed inverse problems in imaging with learnt image priors. The first part of this thesis (Chapter 3) concentrates on two particular problems, namely joint denoising ...
Non-smooth and variational analysis of optimization problems and multi-leader-follower games
(Universidad de Chile, 2020)
La presente tesis se enmarca en la teoría de la optimización no suave y trata con problemas
de la teoría de juegos. La tesis está dividida en cuatro partes, de las cuales en la primera
se presenta la introducción, la ...