Evolving neural networks in environments with delayed rewards by a real-coded GA using the unimodal normal distribution crossover

Proceedings of the 2000 Congress on Evolutionary Computation, CEC 2000

Volumn 1, Issue , 2000, Pages 659-666

  Ono, Isao ^a   Takahashi, Miyuki ^a   Ono, Norihiko ^a  

^a UNIVERSITY OF TOKUSHIMA   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; GENETIC ALGORITHMS; LEARNING SYSTEMS; OPTIMIZATION;

BENCH-MARK PROBLEMS; EVOLVING NEURAL NETWORK; FUNCTION OPTIMIZATION; GENETIC ALGORITHM (GAS); IMPORTANT FEATURES; OPTIMIZING FUNCTIONS; REINFORCEMENT LEARNING TECHNIQUES; UNIMODAL NORMAL DISTRIBUTION;

GENETIC ALGORITHMS; NEURAL NETWORKS;

INTELLIGENT AGENTS; NEURO-EVOLUTION; REINFORCEMENT LEARNING;

EID: 0033671885     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2000.870361     Document Type: Conference Paper

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