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FGCS
2000
83views more  FGCS 2000»
13 years 8 months ago
A Graph-based Ant System and its convergence
: A general framework for solving combinatorial optimization problems heuristically by the Ant System approach is developed. The framework is based on the concept of a construction...
Walter J. Gutjahr
HOLOMAS
2009
Springer
13 years 6 months ago
Collaboration of Metaheuristic Algorithms through a Multi-Agent System
Abstract. This paper introduces a framework based on multi-agent system for solving problems of combinatorial optimization. The framework allows running various metaheuristic algor...
Richard Malek
ICDE
2010
IEEE
172views Database» more  ICDE 2010»
14 years 3 months ago
Rule profiling for query optimizers and their implications
—Many modern optimizers use a transformation rule based framework. While there has been a lot of work on identifying new transformation rules, there has been little work focused ...
Surajit Chaudhuri, Leo Giakoumakis, Vivek R. Naras...
TASLP
2010
78views more  TASLP 2010»
13 years 3 months ago
Solving Demodulation as an Optimization Problem
We introduce two new methods for the demodulation of acoustic signals by posing the problem in a convex optimization framework. This allows the parameters of the modulator and carr...
Gregory Sell, Malcolm Slaney
IJAR
2010
130views more  IJAR 2010»
13 years 7 months ago
Learning locally minimax optimal Bayesian networks
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
Tomi Silander, Teemu Roos, Petri Myllymäki