Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Aitziber Unzueta"'
Publikováno v:
European Journal of Operational Research. 285:988-1001
Two matheuristic decomposition algorithms are introduced. The first one is a Progressive Hedging type so-named Regularized scenario Cluster Progressive Algorithm. The second one is a Frank-Wolfe PH type so-named Regularized scenario Cluster Simplicia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c452ef5bcbe0df4204cc1d08fd8c48e5
https://doi.org/10.1016/j.ejor.2020.02.046
https://doi.org/10.1016/j.ejor.2020.02.046
Publikováno v:
Journal of Statistics Education, Vol 27, Iss 2, Pp 68-78 (2019)
Teaching some concepts in statistics greatly benefits from individual practice with immediate feedback. In order to provide such practice to a large number of students we have written a simulator based on an historical event: the loss in May 22, 1968
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1aede6638ee45004566eb2da953ab33
https://doaj.org/article/cf08c4f85e044bf2b724bce020483ae9
https://doaj.org/article/cf08c4f85e044bf2b724bce020483ae9
Publikováno v:
IEEE EUROCON 2021-19th International Conference on Smart Technologies
One of the problems faced by electric power distribution system operators is to know with certainty the actual location of all their assets in order to manage properly the grid and provide the best service to their customers. In this work, we present
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5638ecca747b715111752218bb7f2869
Publikováno v:
Computers & Operations Research. 98:84-102
A preparedness resource allocation model and an algorithmic approach are presented for a three-stage stochastic problem for managing natural disaster mitigation. That preparedness consists of warehouse location and capacity assignment and the procure
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb561ab662c35f57d9e9aa33549b6e6a
https://doi.org/10.1016/j.cor.2018.05.010
https://doi.org/10.1016/j.cor.2018.05.010
Publikováno v:
Computational Optimization and Applications. 70:865-888
In this work we present two matheuristic procedures to build good feasible solutions (frequently, the optimal one) by considering the solutions of relaxed problems of large-sized instances of the multi-period stochastic pure 0–1 location-assignment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d69b703713677e4165f0fbb37adaa25
https://doi.org/10.1007/s10589-018-9995-0
https://doi.org/10.1007/s10589-018-9995-0
Publikováno v:
Computers & Operations Research. 85:154-171
A Multistage scenario Cluster Dualization and Lagrangean Relaxation is presented.Time Stochastic Dominance (TSD) risk averse measure is considered.Dualization of the NAC and Relaxation of the cross node constraints are considered.Three Lagrangean mul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17e6462535384b7718a762770336e5be
https://doi.org/10.1016/j.cor.2017.04.007
https://doi.org/10.1016/j.cor.2017.04.007
Publikováno v:
Computers & Operations Research. 67:48-62
We present a Lagrangean Decomposition approach for obtaining strong lower bounds on minimizing medium to large scale multistage stochastic mixed 0-1 problems. The problem is represented by a mixture of the splitting representation up to a given stage
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62716e166601dcff230a237ab106471c
https://doi.org/10.1016/j.cor.2015.09.005
https://doi.org/10.1016/j.cor.2015.09.005
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
instname
[EN] Teaching some basic concepts in Statistics greatly benefits from individual practice with immediate feedback. In order to provide such practice to a large number of students we have writen a simulator described below, first of a planned series o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::055d7d85e52351ce159bfb622612998d
https://doi.org/10.4995/inred2017.2017.6725
https://doi.org/10.4995/inred2017.2017.6725
Scenario Cluster Decomposition of the Lagrangian dual in two-stage stochastic mixed 0–1 optimization
Publikováno v:
Computers & Operations Research. 40:362-377
In this paper we introduce four scenario Cluster based Lagrangian Decomposition procedures for obtaining strong lower bounds to the (optimal) solution value of two-stage stochastic mixed 0-1 problems. At each iteration of the Lagrangian based procedu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f00892012b9141852b530697420c4eed
https://doi.org/10.1016/j.cor.2012.07.009
https://doi.org/10.1016/j.cor.2012.07.009
Publikováno v:
TOP. 20:347-374
In this paper we study solution methods for solving the dual problem corresponding to the Lagrangian Decomposition of two-stage stochastic mixed 0-1 models. We represent the two-stage stochastic mixed 0-1 problem by a splitting variable representatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::014384a4fc56b436372dba970bf68af3
https://doi.org/10.1007/s11750-011-0237-1
https://doi.org/10.1007/s11750-011-0237-1