Genetic Network Programing Considering the Evolution of Breadth and Depth

Many methods of generating behavior sequences of agents by evolution have been reported. A new evolutionary computation method named genetic network programming (GNP) has also been developed recently along with these trends. In this paper, a new method for evolving GNP considering breadth and depth...

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Bibliographic Details
Published in2006 SICE-ICASE International Joint Conference pp. 5504 - 5508
Main Authors Eto, S., Mabu, S., Hirasawa, K., Hu, J.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2006
Subjects
Artificial intelligence
Computational modeling
Economic indicators
Electronic mail
Evolutionary computation
Genetic algorithms
genetic network programming(GNP)
Genetic programming
Intelligent robots
Parallel algorithms
Production systems
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Summary:Many methods of generating behavior sequences of agents by evolution have been reported. A new evolutionary computation method named genetic network programming (GNP) has also been developed recently along with these trends. In this paper, a new method for evolving GNP considering breadth and depth is proposed. The performance of the proposed method is shown from simulations using garbage collector problem
ISBN:9788995003848
8995003847
DOI:10.1109/SICE.2006.315687