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HEURISTICS
2007
165views more  HEURISTICS 2007»
13 years 7 months ago
New heuristics for the maximum diversity problem
Abstract. The Maximum Diversity Problem (MDP) consists in identifying, in a population, a subset of elements, characterized by a set of attributes, that present the most diverse ch...
Geiza C. Silva, Marcos R. Q. de Andrade, Luiz Sato...
ML
2006
ACM
113views Machine Learning» more  ML 2006»
13 years 7 months ago
Learning to bid in bridge
Bridge bidding is considered to be one of the most difficult problems for game-playing programs. It involves four agents rather than two, including a cooperative agent. In additio...
Asaf Amit, Shaul Markovitch
CONCUR
2012
Springer
11 years 10 months ago
Making Weighted Containment Feasible: A Heuristic Based on Simulation and Abstraction
Simulation and Abstraction Guy Avni and Orna Kupferman School of Computer Science and Engineering, Hebrew University, Israel Weighted automata map input words to real numbers and a...
Guy Avni, Orna Kupferman
EOR
2011
140views more  EOR 2011»
12 years 11 months ago
Compact bidding languages and supplier selection for markets with economies of scale and scope
Combinatorial auctions have been used in procurement markets with economies of scope. Preference elicitation is already a problem in single-unit combinatorial auctions, but it bec...
Martin Bichler, Stefan Schneider, Kemal Guler, Meh...
ORL
1998
116views more  ORL 1998»
13 years 7 months ago
Heuristic solution of the multisource Weber problem as a p-median problem
Good heuristic solutions for large Multisource Weber problems can be obtained by solving related p-median problems in which potential locations of the facilities are users location...
Pierre Hansen, Nenad Mladenovic, Éric D. Ta...