Unconstrained Gene Expression Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{Zhang3:2009:cec,

• author = "Jianwei Zhang and Zhijian Wu and Zongyue Wang and Jinglei Guo and Zhangcan Huang",
• title = "Unconstrained Gene Expression Programming",
• booktitle = "2009 IEEE Congress on Evolutionary Computation",
• year = "2009",
• editor = "Andy Tyrrell",
• pages = "2043--2048",
• address = "Trondheim, Norway",
• month = "18-21 " # may,
• organization = "IEEE Computational Intelligence Society",
• publisher = "IEEE Press",
• isbn13 = "978-1-4244-2959-2",
• file = "P208.pdf",
• DOI = "doi:10.1109/CEC.2009.4983192",
• abstract = "Many linear structured genetic programming are proposed in the past years. Gene expression programming, as a classic linear represented genetic programming, is powerful in solving problems of data mining and knowledge discovery. Constrains of gene expression programming like head-tail mechanism do contribution to the legality of chromosome. however, they impair the flexibility and adaptability of chromosome to some extend. Inspired by the diversity of chromosome arrangements in biology, an unconstrained encoded gene expression programming is proposed to overcome above constraints. In this way, the search space is enlarged; meanwhile the parallelism and the adaptability are enhanced. A group of regression and classification experiments also show that unconstrained gene expression programming performs better than classic gene expression programming.",
• keywords = "genetic algorithms, genetic programming, gene expression programming",
• notes = "CEC 2009 - A joint meeting of the IEEE, the EPS and the IET. IEEE Catalog Number: CFP09ICE-CDR",

}

Genetic Programming entries for Jianwei Zhang Zhijian Wu Zongyue Wang Jinglei Guo Zhangcan Huang

Citations