Use of a genetic algorithm to evolve an extended artificial regulatory network for cell pattern generation

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Use of a genetic algorithm to evolve an extended artificial regulatory network for cell pattern generation

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Genetic And Evolutionary Computation Conference archive
Proceedings of the 9th annual conference on Genetic and evolutionary computation table of contents

London, England

POSTER SESSION: Generative and developmental systems: posters table of contents

Pages: 1062 - 1062

Year of Publication: 2007

ISBN:978-1-59593-697-4

Authors

Arturo Chavoya	University of Guadalajara, Zapopan, Mexico
Yves Duthen	University of Toulouse 1, Toulouse, France

Sponsors

SIGEVO: ACM Special Interest Group on Genetic and Evolutionary Computation
ACM: Association for Computing Machinery

Publisher

ACM New York, NY, USA

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ABSTRACT

Cell pattern formation has a crucial role in both artificial and natural development. We present results from experiments in which a genetic algorithm was used to evolve an extended artificial regulatory network to produce predefined 2D cell patterns through the selective activation and inhibition of genes.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	W. Banzhaf. Artificial regulatory networks and genetic programming. In R. L. Riolo and B. Worzel, editors, Genetic Programming Theory and Practice, chapter 4, pages 43--62. Kluwer, 2003.
	2	Arturo Chavoya , Yves Duthen, Using a genetic algorithm to evolve cellular automata for 2D/3D computational development, Proceedings of the 8th annual conference on Genetic and evolutionary computation, July 08-12, 2006, Seattle, Washington, USA [doi>10.1145/1143997.1144036]
	3	A. Chavoya and Y. Duthen. Evolving an artificial regulatory network for 2D cell patterning. In Proceedings of the 2007 IEEE Symposium on Artificial Life (CI-ALife'07), pages 47--53. IEEE Computational Intelligence Society, 2007.