A survey on combinatorial optimization in dynamic environments
Boria, Nicolas; Paschos, Vangelis (2011), A survey on combinatorial optimization in dynamic environments, RAIRO, 45, 3, p. 241-294. http://dx.doi.org/10.1051/ro/2011114
Type
Article accepté pour publication ou publiéDate
2011Journal name
RAIROVolume
45Number
3Publisher
Cambridge University Press
Pages
241-294
Publication identifier
Metadata
Show full item recordAbstract (EN)
This 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.Subjects / Keywords
Approximation; reoptimization; hereditary problem; complexity; graph; on-line algorithms; probabilistic optimizationRelated items
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