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133
Voted
GECCO
2009
Springer
15 years 10 months ago
2009
Springer
When an optimization problem is encoded using genetic algorithms, one must address issues of population size, crossover and mutation operators and probabilities, stopping criteria...
142
Voted
ICANNGA
2009
Springer
15 years 10 months ago
2009
Springer
In this paper we present application of genetic programming (GP) [1] to evolution of indirect encoding of neural network weights. We compare usage of original HyperNEAT algorithm w...
123
Voted
CDC
2008
IEEE
15 years 10 months ago
2008
IEEE
—We study the problem of dynamic spectrum sensing and access in cognitive radio systems as a partially observed Markov decision process (POMDP). A group of cognitive users cooper...
166
Voted
ICDM
2008
IEEE
15 years 10 months ago
2008
IEEE
This paper studies evolutionary clustering, which is a recently hot topic with many important applications, noticeably in social network analysis. In this paper, based on the rece...
119
Voted
GECCO
2007
Springer
15 years 9 months ago
2007
Springer
Genetic Programming (GP) is an automated computational programming methodology, inspired by the workings of natural evolution techniques. It has been applied to solve complex prob...