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» Approximation Algorithms for Min-Max Generalization Problems
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APPROX
2008
Springer
134views Algorithms» more  APPROX 2008»
13 years 11 months ago
Inapproximability of Survivable Networks
In the Survivable Network Design Problem (SNDP) one seeks to find a minimum cost subgraph that satisfies prescribed node-connectivity requirements. We give a novel approximation r...
Yuval Lando, Zeev Nutov
WAOA
2005
Springer
177views Algorithms» more  WAOA 2005»
14 years 2 months ago
Approximation and Complexity of k-Splittable Flows
Given a graph with a source and a sink node, the NP–hard maximum k–splittable flow (MkSF) problem is to find a flow of maximum value with a flow decomposition using at most...
Ronald Koch, Martin Skutella, Ines Spenke
ATAL
2007
Springer
14 years 3 months ago
Reducing the complexity of multiagent reinforcement learning
It is known that the complexity of the reinforcement learning algorithms, such as Q-learning, may be exponential in the number of environment’s states. It was shown, however, th...
Andriy Burkov, Brahim Chaib-draa
SODA
2001
ACM
102views Algorithms» more  SODA 2001»
13 years 10 months ago
Approximate majorization and fair online load balancing
This paper relates the notion of fairness in online routing and load balancing to vector majorization as developed by Hardy, Littlewood, and Polya 9]. We de ne -supermajorization ...
Ashish Goel, Adam Meyerson, Serge A. Plotkin
GECCO
2009
Springer
112views Optimization» more  GECCO 2009»
14 years 3 months ago
Approximating geometric crossover in semantic space
We propose a crossover operator that works with genetic programming trees and is approximately geometric crossover in the semantic space. By defining semantic as program’s eval...
Krzysztof Krawiec, Pawel Lichocki