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GECCO
2005
Springer
14 years 1 months ago
2005
Springer
A meta-GA (GA within a GA) is used to investigate evolving the parameter settings of genetic operators for genetic and evolutionary algorithms (GEA) in the hope of creating a self...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
The random number generator is one of the important components of evolutionary algorithms (EAs). Therefore, when we try to solve function optimization problems using EAs, we must ...
ICNP
2002
IEEE
14 years 1 months ago
2002
IEEE
— This paper describes a novel, ultra-fast heuristic algorithm to address an NP-hard optimization problem. One of its significances is that, for the first time, the paper shows...
GECCO
2010
Springer
14 years 1 months ago
2010
Springer
In this paper we present the application of an evolution strategy to the problem of detecting multi-planet transit events in photometric time-data series. Planetary transits occur...
ECML
2006
Springer
13 years 12 months ago
2006
Springer
We target the problem of closed-loop learning of control policies that map visual percepts to continuous actions. Our algorithm, called Reinforcement Learning of Joint Classes (RLJ...