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dc.contributor.authorBoria, Nicolas
dc.contributor.authorPaschos, Vangelis
dc.date.accessioned2012-01-09T10:58:35Z
dc.date.available2012-01-09T10:58:35Z
dc.date.issued2011
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/7841
dc.language.isoenen
dc.subjectNPO problemsen
dc.subject.ddc003en
dc.titleOptimization in dynamic environmentsen
dc.typeDocument de travail / Working paper
dc.description.abstractenThis survey presents major results and issues related to the study of NPO problems in dynamic environments, that is, in settings where instances are allowed to undergo some modifications over time. In particular, the survey focuses on two complementary frameworks. The first one is the reoptimization framework , where an instance I that is already solved undergoes some local perturbation. The goal is then to make use of the information provided by the initial solution to compute a new solution. The second framework is probabilistic optimization, where the instance to optimize is not fully known at the time when a solution is to be proposed, but results from a determined Bernoulli process. Then, the goal is to compute a solution with optimal expected value.en
dc.publisher.nameUniversité Paris-Dauphineen
dc.publisher.cityParisen
dc.identifier.citationpages48en
dc.relation.ispartofseriestitleCahier du LAMSADEen
dc.relation.ispartofseriesnumber314en
dc.description.sponsorshipprivateouien
dc.subject.ddclabelRecherche opérationnelleen


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