A New Hybridization Method Using in NEAT

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Abstract:

In order to solve the problem that the speed of augmenting in NEAT algorithm is obviously not fast enough. We bring in the hybridization scheme. The scheme mainly gets new progeny chromosomes by combining parents ones. But it will probably bring in abnormal genes. As we record the time stamp for every gene, we can easily ensure that those genes are the same, so that we can simply get those completely reasonable hybrid chromosomes. We mainly use the time stamp of every gene to record information and make progeny chromosomes.

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1647-1650

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March 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Interactive Evolution of Particle System in Computer Graphic and Animation , IEEE Transactions on Evolutionary Computation, New York: IEEE Press, 2009. Erin J. Hastings, Ratan K. Guha, and Kenneth O. Stanley.

DOI: 10.1109/tevc.2008.2004261

Google Scholar

[2] Evolving Neural Networks through Augmenting Topologies, The MIT Press Journals , Kenneth O. Stanley , Risto Miikkulainen.

Google Scholar

[3] Efficient Reinforcement Learning through Evolving Neural Networks Topologies , GECCO 2002, Kenneth O. Stanley Risto Miikkulainen.

Google Scholar

[4] Efficient Evolution of Neural Network Topologies , CEC 02 , Kenneth O. Stanley , Risto Miikkulainen.

Google Scholar

[5] Nearest neighbor pattern recognition , IEEE Transactions , 1967 , Tomas M. Cover ,Peter E. Hart.

Google Scholar

[6] A Novel Generative Encoding for Exploiting Neural Network Sensor and Output Geometry, GECCO 2007 , David B. D'Ambrosio , Kenneth O. Stanley.

Google Scholar