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» Approximate local search in combinatorial optimization
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AAAI
2000
13 years 8 months ago
Solving Combinatorial Auctions Using Stochastic Local Search
Combinatorial auctions (CAs) have emerged as an important model in economics and show promise as a useful tool for tackling resource allocation in AI. Unfortunately, winner determ...
Holger H. Hoos, Craig Boutilier
GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
14 years 1 months ago
Solving large scale combinatorial optimization using PMA-SLS
Memetic algorithms have become to gain increasingly important for solving large scale combinatorial optimization problems. Typically, the extent of the application of local search...
Jing Tang, Meng-Hiot Lim, Yew-Soon Ong, Meng Joo E...
CG
2004
Springer
13 years 11 months ago
Locally Informed Global Search for Sums of Combinatorial Games
Abstract. There are two complementary approaches to playing sums of combinatorial games. They can be characterized as local analysis and global search. Algorithms from combinatoria...
Martin Müller 0003, Zhichao Li
STOC
1996
ACM
118views Algorithms» more  STOC 1996»
13 years 11 months ago
Towards an Analysis of Local Optimization Algorithms
We introduce a variant of Aldous and Vazirani's \Go with the winners" algorithm that can be used for search graphs that are not trees. We analyze the algorithm in terms ...
Tassos Dimitriou, Russell Impagliazzo
CEC
2007
IEEE
14 years 1 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 ...