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ESA
2006
Springer
103views Algorithms» more  ESA 2006»
15 years 1 months ago
Greedy in Approximation Algorithms
The objective of this paper is to characterize classes of problems for which a greedy algorithm finds solutions provably close to optimum. To that end, we introduce the notion of k...
Julián Mestre
CPM
2008
Springer
148views Combinatorics» more  CPM 2008»
14 years 12 months ago
On-Line Approximate String Matching with Bounded Errors
We introduce a new dimension to the widely studied on-line approximate string matching problem, by introducing an error threshold parameter so that the algorithm is allowed to mis...
Marcos A. Kiwi, Gonzalo Navarro, Claudio Telha
SIAMJO
2002
124views more  SIAMJO 2002»
14 years 9 months ago
The Sample Average Approximation Method for Stochastic Discrete Optimization
In this paper we study a Monte Carlo simulation based approach to stochastic discrete optimization problems. The basic idea of such methods is that a random sample is generated and...
Anton J. Kleywegt, Alexander Shapiro, Tito Homem-d...
CEC
2007
IEEE
15 years 4 months ago
On improving approximate solutions by evolutionary algorithms
Abstract—Hybrid methods are very popular for solving problems from combinatorial optimization. In contrast to this the theoretical understanding of the interplay of different opt...
Tobias Friedrich, Jun He, Nils Hebbinghaus, Frank ...
ISCC
2005
IEEE
143views Communications» more  ISCC 2005»
15 years 3 months ago
Approximating Optimal Multicast Trees in Wireless Multihop Networks
— We study the problem of computing minimal cost multicast trees in multi-hop wireless mesh networks. This problem is known as the Steiner tree problem, and it has been widely st...
Pedro M. Ruiz, Antonio F. Gómez-Skarmeta