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» Entropy-Driven Parameter Control for Evolutionary Algorithms
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ROBOCUP
2001
Springer
111views Robotics» more  ROBOCUP 2001»
13 years 12 months ago
Evolving Fuzzy Logic Controllers for Sony Legged Robots
This paper presents an evolutionary approach to learning a fuzzy logic controller(FLC) employed for reactive behaviour control of Sony legged robots. The learning scheme is divided...
Dongbing Gu, Huosheng Hu
GECCO
2005
Springer
109views Optimization» more  GECCO 2005»
14 years 1 months ago
Investigations in meta-GAs: panaceas or pipe dreams?
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...
Jeff Clune, Sherri Goings, Bill Punch, Eric Goodma...
GECCO
2008
Springer
112views Optimization» more  GECCO 2008»
13 years 8 months ago
Parameter-less evolutionary search
The paper presents the parameter-less implementation of an evolutionary-based search. It does not need any predefined control parameters values, which are usually used for geneti...
Gregor Papa
ATAL
2006
Springer
13 years 11 months ago
Evolutionary Optimization of ZIP60: A Controlled Explosion in Hyperspace
The "ZIP" adaptive trading algorithm has been demonstrated to outperform human traders in experimental studies of continuous double auction (CDA) markets. The original Z...
Dave Cliff
CEC
2007
IEEE
14 years 1 months ago
Combine and compare evolutionary robotics and reinforcement Learning as methods of designing autonomous robots
—The purpose of this paper is to present a comparison between two methods of building adaptive controllers for robots. In spite of the wide range of techniques which are used for...
Sergiu Goschin, Eduard Franti, Monica Dascalu, San...