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» Inapproximability of Combinatorial Optimization Problems
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SIGECOM
2004
ACM
112views ECommerce» more  SIGECOM 2004»
14 years 4 months ago
Self-interested automated mechanism design and implications for optimal combinatorial auctions
Often, an outcome must be chosen on the basis of the preferences reported by a group of agents. The key difficulty is that the agents may report their preferences insincerely to m...
Vincent Conitzer, Tuomas Sandholm
ANOR
2010
102views more  ANOR 2010»
13 years 11 months ago
Ejection chain and filter-and-fan methods in combinatorial optimization
The design of effective neighborhood structures is fundamentally important for creating better local search and metaheuristic algorithms for combinatorial optimization. Significant...
César Rego, Fred Glover
ALGORITHMICA
2010
104views more  ALGORITHMICA 2010»
13 years 11 months ago
Fixed-Parameter Approximation: Conceptual Framework and Approximability Results
The notion of fixed-parameter approximation is introduced to investigate the approximability of optimization problems within the framework of fixed-parameter computation. This work...
Liming Cai, Xiuzhen Huang
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
14 years 5 months ago
Evolutionary algorithms and matroid optimization problems
We analyze the performance of evolutionary algorithms on various matroid optimization problems that encompass a vast number of efficiently solvable as well as NP-hard combinatoria...
Joachim Reichel, Martin Skutella
CPAIOR
2008
Springer
14 years 21 days ago
Amsaa: A Multistep Anticipatory Algorithm for Online Stochastic Combinatorial Optimization
The one-step anticipatory algorithm (1s-AA) is an online algorithm making decisions under uncertainty by ignoring future non-anticipativity constraints. It makes near-optimal decis...
Luc Mercier, Pascal Van Hentenryck