%0 Conference Paper %1 hoai:2002:stsrpwtgggptcr %A Hoai, N. X. %A McKay, R. I. %A Essam, D. %A Chau, R. %B Proceedings of the 2002 Congress on Evolutionary Computation CEC2002 %D 2002 %E Fogel, David B. %E El-Sharkawi, Mohamed A. %E Yao, Xin %E Greenwood, Garry %E Iba, Hitoshi %E Marrow, Paul %E Shackleton, Mark %I IEEE Press %K algorithms, genetic programming %P 1326--1331 %T Solving the Symbolic Regression Problem with Tree-Adjunct Grammar Guided Genetic Programming: The Comparative Results %X We show some experimental results of tree-adjunct grammar guided genetic programming 6 (TAG3P) on the symbolic regression problem, a benchmark problem in genetic programming. We compare the results with genetic programming 9 (GP) and grammar guided genetic programming 14 (GGGP). The results show that TAG3P significantly outperforms GP and GGGP on the target functions attempted in terms of probability of success. Moreover, TAG3P still performed well when the structural complexity of the target function was scaled up. %@ 0-7803-7278-6

@inproceedings{hoai:2002:stsrpwtgggptcr, abstract = {We show some experimental results of tree-adjunct grammar guided genetic programming [6] (TAG3P) on the symbolic regression problem, a benchmark problem in genetic programming. We compare the results with genetic programming [9] (GP) and grammar guided genetic programming [14] (GGGP). The results show that TAG3P significantly outperforms GP and GGGP on the target functions attempted in terms of probability of success. Moreover, TAG3P still performed well when the structural complexity of the target function was scaled up.}, added-at = {2008-06-19T17:35:00.000+0200}, author = {Hoai, N. X. and McKay, R. I. and Essam, D. and Chau, R.}, biburl = {https://www.bibsonomy.org/bibtex/2904d956fc5dca8bbd5ab331fd387eb06/brazovayeye}, booktitle = {Proceedings of the 2002 Congress on Evolutionary Computation CEC2002}, editor = {Fogel, David B. and El-Sharkawi, Mohamed A. and Yao, Xin and Greenwood, Garry and Iba, Hitoshi and Marrow, Paul and Shackleton, Mark}, interhash = {a8fbe202e139da0f1c91e1a0950bdff1}, intrahash = {904d956fc5dca8bbd5ab331fd387eb06}, isbn = {0-7803-7278-6}, keywords = {algorithms, genetic programming}, notes = {CEC 2002 - A joint meeting of the IEEE, the Evolutionary Programming Society, and the IEE. Held in connection with the World Congress on Computational Intelligence (WCCI 2002)}, organisation = {IEEE Neural Network Council (NNC), Institution of Electrical Engineers (IEE), Evolutionary Programming Society (EPS)}, pages = {1326--1331}, publisher = {IEEE Press}, publisher_address = {445 Hoes Lane, P.O. Box 1331, Piscataway, NJ 08855-1331, USA}, timestamp = {2008-06-19T17:41:34.000+0200}, title = {Solving the Symbolic Regression Problem with Tree-Adjunct Grammar Guided Genetic Programming: The Comparative Results}, year = 2002 }