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» The EvA2 Optimization Framework
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130
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FGCS
2000
83views more  FGCS 2000»
15 years 3 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
135
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HOLOMAS
2009
Springer
15 years 1 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»
15 years 10 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...
114
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TASLP
2010
78views more  TASLP 2010»
14 years 10 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
145
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IJAR
2010
130views more  IJAR 2010»
15 years 2 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