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» Approximate local search in combinatorial optimization
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AI
1999
Springer
13 years 7 months ago
Towards a Characterisation of the Behaviour of Stochastic Local Search Algorithms for SAT
Stochastic local search (SLS) algorithms have been successfully applied to hard combinatorial problems from different domains. Due to their inherent randomness, the run-time behav...
Holger H. Hoos, Thomas Stützle
AUSAI
2005
Springer
14 years 1 months ago
A Lagrangian Heuristic for Winner Determination Problem in Combinatorial Auctions
Abstract. We present a Lagrangian-based heuristic LAHA for the Winner Determination Problem in Combinatorial Auctions. The algorithm makes use of the market computing power by appl...
Andrew Lim, Jiqing Tang
ICPR
2002
IEEE
14 years 8 months ago
Radial Projections for Non-Linear Feature Extraction
In this work, two new techniques for non-linear feature extraction are presented. In these techniques, new features are obtained as radial projections of the original measurements...
Alberto J. Pérez Jiménez, Juan Carlo...
HM
2009
Springer
145views Optimization» more  HM 2009»
14 years 3 days ago
A Hybrid Solver for Large Neighborhood Search: Mixing Gecode and EasyLocal + +
We present a hybrid solver (called GELATO) that exploits the potentiality of a Constraint Programming (CP) environment (Gecode) and of a Local Search (LS) framework (EasyLocal++ )....
Raffaele Cipriano, Luca Di Gaspero, Agostino Dovie...
JCC
2008
166views more  JCC 2008»
13 years 7 months ago
Reference energy extremal optimization: A stochastic search algorithm applied to computational protein design
: We adapt a combinatorial optimization algorithm, extremal optimization (EO), for the search problem in computational protein design. This algorithm takes advantage of the knowled...
Naigong Zhang, Chen Zeng