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» Evolving Quasigroups by Genetic Algorithms
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GECCO
2004
Springer
155views Optimization» more  GECCO 2004»
14 years 2 months ago
Genetic Network Programming with Reinforcement Learning and Its Performance Evaluation
A new graph-based evolutionary algorithm named “Genetic Network Programming, GNP” has been proposed. GNP represents its solutions as directed graph structures, which can improv...
Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
GECCO
2006
Springer
137views Optimization» more  GECCO 2006»
14 years 23 days ago
Evolutionary design of fault-tolerant analog control for a piezoelectric pipe-crawling robot
In this paper, a genetic algorithm (GA) is used to design faulttolerant analog controllers for a piezoelectric micro-robot. Firstorder and second-order functions are developed to ...
Geoffrey A. Hollinger, David A. Gwaltney
GECCO
2006
Springer
208views Optimization» more  GECCO 2006»
14 years 23 days ago
Comparing evolutionary and temporal difference methods in a reinforcement learning domain
Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...
Matthew E. Taylor, Shimon Whiteson, Peter Stone
CEC
2008
IEEE
13 years 11 months ago
Investigation of simply coded evolutionary artificial neural networks on robot control problems
One of the advantages of evolutionary robotics over other approaches in embodied cognitive science would be its parallel population search. Due to the population search, it takes a...
Yoshiaki Katada, Jun Nakazawa
ICTAI
2005
IEEE
14 years 2 months ago
Prediction of the Stock Exchange of Thailand Using Adaptive Evolution Strategies
In this paper we present a prediction process of the Stock Exchange of Thailand index using adaptive evolution strategies. The prediction process does not require the knowledge of...
Sunisa Rimcharoen, Daricha Sutivong, Prabhas Chong...