%0 Conference Paper %1 juille:1998:cit:adCAr %A Juille, Hugues %A Pollack, Jordan B. %B Genetic Programming 1998: Proceedings of the Third Annual Conference %C University of Wisconsin, Madison, Wisconsin, USA %D 1998 %E Koza, John R. %E Banzhaf, Wolfgang %E Chellapilla, Kumar %E Deb, Kalyanmoy %E Dorigo, Marco %E Fogel, David B. %E Garzon, Max H. %E Goldberg, David E. %E Iba, Hitoshi %E Riolo, Rick %I Morgan Kaufmann %K Automata Cellular algorithms, genetic %P 519--527 %T Coevolving the Ideal Trainer: Application to the Discovery of Cellular Automata Rules %U http://www.cs.brandeis.edu/~hugues/papers/GP_98.ps.gz %X Coevolution provides a framework to implement search heuristics that are more elaborate than those driving the exploration of the state space in canonical evolutionary systems. However, some drawbacks have also to be overcome in order to ensure continuous progress on the long term. This paper presents the concept of coevolutionary learning and introduces a search procedure which successfully addresses the underlying impediments in coevolutionary search. The application of this algorithm to the discovery of cellular automata rules for a classification task is described. This work resulted in a significant improvement over previously known best rules for this task.

@inproceedings{juille:1998:cit:adCAr, abstract = {Coevolution provides a framework to implement search heuristics that are more elaborate than those driving the exploration of the state space in canonical evolutionary systems. However, some drawbacks have also to be overcome in order to ensure continuous progress on the long term. This paper presents the concept of coevolutionary learning and introduces a search procedure which successfully addresses the underlying impediments in coevolutionary search. The application of this algorithm to the discovery of cellular automata rules for a classification task is described. This work resulted in a significant improvement over previously known best rules for this task.}, added-at = {2008-06-19T17:35:00.000+0200}, address = {University of Wisconsin, Madison, Wisconsin, USA}, author = {Juille, Hugues and Pollack, Jordan B.}, biburl = {https://www.bibsonomy.org/bibtex/25f7220c48361e395983c7a87a2b60673/brazovayeye}, booktitle = {Genetic Programming 1998: Proceedings of the Third Annual Conference}, editor = {Koza, John R. and Banzhaf, Wolfgang and Chellapilla, Kumar and Deb, Kalyanmoy and Dorigo, Marco and Fogel, David B. and Garzon, Max H. and Goldberg, David E. and Iba, Hitoshi and Riolo, Rick}, interhash = {d86857b7f57421c030ad4fce3cdea967}, intrahash = {5f7220c48361e395983c7a87a2b60673}, keywords = {Automata Cellular algorithms, genetic}, month = {22-25 July}, notes = {SGA-98}, pages = {519--527}, publisher = {Morgan Kaufmann}, publisher_address = {San Francisco, CA, USA}, timestamp = {2008-06-19T17:42:44.000+0200}, title = {Coevolving the Ideal Trainer: Application to the Discovery of Cellular Automata Rules}, url = {http://www.cs.brandeis.edu/~hugues/papers/GP_98.ps.gz}, year = 1998 }