%0 Conference Paper %1 iba:2002:gecco %A Iba, Hitoshi %A Sakamoto, Erina %B GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference %C New York %D 2002 %E Langdon, W. B. %E Cantú-Paz, E. %E Mathias, K. %E Roy, R. %E Davis, D. %E Poli, R. %E Balakrishnan, K. %E Honavar, V. %E Rudolph, G. %E Wegener, J. %E Bull, L. %E Potter, M. A. %E Schultz, A. C. %E Miller, J. F. %E Burke, E. %E Jonoska, N. %I Morgan Kaufmann Publishers %K E-cell, Lotka-Volterra S-systems algorithms, bioinformatics, differential equation, genetic genome informatics, model, programming, %P 788--795 %T Inference Of Differential Equation Models By Genetic Programming %U http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-14.pdf %X An evolutionary method for identifying a causal model from the observed time series data. We use a system of ordinary differential equations (ODEs) as the causal model. This approach is well known to be useful for the practical application, e.g., bioinformatics, chemical reaction models, controlling theory etc. To explore the search space more effectively in the course of evolution, the right-hand sides of ODEs are inferred by Genetic Programming (GP) and the least mean square (LMS) method is used along with the ordinary GP. We apply our method to several target tasks and empirically show how successfully GP infers the systems of ODEs. %@ 1-55860-878-8

@inproceedings{iba:2002:gecco, abstract = {An evolutionary method for identifying a causal model from the observed time series data. We use a system of ordinary differential equations (ODEs) as the causal model. This approach is well known to be useful for the practical application, e.g., bioinformatics, chemical reaction models, controlling theory etc. To explore the search space more effectively in the course of evolution, the right-hand sides of ODEs are inferred by Genetic Programming (GP) and the least mean square (LMS) method is used along with the ordinary GP. We apply our method to several target tasks and empirically show how successfully GP infers the systems of ODEs.}, added-at = {2008-06-19T17:35:00.000+0200}, address = {New York}, author = {Iba, Hitoshi and Sakamoto, Erina}, biburl = {https://www.bibsonomy.org/bibtex/2be30414722e7bda56eef40055df3b74f/brazovayeye}, booktitle = {GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference}, editor = {Langdon, W. B. and Cant{\'u}-Paz, E. and Mathias, K. and Roy, R. and Davis, D. and Poli, R. and Balakrishnan, K. and Honavar, V. and Rudolph, G. and Wegener, J. and Bull, L. and Potter, M. A. and Schultz, A. C. and Miller, J. F. and Burke, E. and Jonoska, N.}, interhash = {2c6b34ac5d52d3eaca11725e53da0c88}, intrahash = {be30414722e7bda56eef40055df3b74f}, isbn = {1-55860-878-8}, keywords = {E-cell, Lotka-Volterra S-systems algorithms, bioinformatics, differential equation, genetic genome informatics, model, programming,}, month = {9-13 July}, notes = {GECCO-2002. A joint meeting of the eleventh International Conference on Genetic Algorithms (ICGA-2002) and the seventh Annual Genetic Programming Conference (GP-2002)}, pages = {788--795}, publisher = {Morgan Kaufmann Publishers}, publisher_address = {San Francisco, CA 94104, USA}, timestamp = {2008-06-19T17:42:05.000+0200}, title = {Inference Of Differential Equation Models By Genetic Programming}, url = {http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-14.pdf}, year = 2002 }