Genetic algorithms and machine learning

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Genetic algorithms and machine learning

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Annual Workshop on Computational Learning Theory archive
Proceedings of the sixth annual conference on Computational learning theory table of contents

Santa Cruz, California, United States

Pages: 3 - 4

Year of Publication: 1993

ISBN:0-89791-611-5

Author

John J. Grefenstette

Sponsors

SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
SIGART: ACM Special Interest Group on Artificial Intelligence

Publisher

ACM New York, NY, USA

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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	L. Davis (Ed.), Handbook of Genet2c Algomthms, Van Nostrand Reinhold, 1991.
	2	Kenneth De Jong, Genetic-algorithm-based learning, Machine learning: an artificial intelligence approach volume III, Morgan Kaufmann Publishers Inc., San Francisco, CA, 1990
	3	K.A. De Jong and W. M. Spears, A formal analysis of the role of multi-point crossover in genetic algorithms. Annals of Mathematzcs and Art~ficzal {ntelhgence 5(1), 1-26, 1992.
	4	David E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley Longman Publishing Co., Inc., Boston, MA, 1989
	5	J.J. Grefenstette, Credit assignment in rule discovery systems based on genetic algorithms, Machine Language, v.3 n.2-3, p.225-245, Oct. 1988 [doi>10.1007/BF00113898]
	6	J.J. Grefenstette, Conditions for implicit parallelism. In Foundatzons of Genetic Algorzthms, G. Rawlins (Ed.), Morgan Kaufmann, 1991.
	7	Kenneth De Jong, Introduction, Machine Learning, v.5 n.4, p.351-353, Oct. 1990 [doi>10.1023/A:1022625623050]
	8	J.J. Grefenstette, Genetic algorithms for changing environments. Proceedings of Parallel Problems Solmng from Nature-2 , R. Maenner and B. Manderick (Eds.), North-Holland, 137-144, 1992.
	9	John H. Holland, Adaptation in natural and artificial systems, MIT Press, Cambridge, MA, 1992
	10	Gregory J.E. Rawlins, Foundations of genetic algorithms, Morgan Kaufmann Publishers Inc., San Francisco, CA, 1992
	11	J. Ros, Learning Boolean functions with genetic algorithms: A PAC analysis. In Foundatzons of Genetzc Algorzthms-2 D. Whitley (Ed.), Morgan Kaufmann, 1993.
	12	W.M. Spears and K. A. De Jong, An analysis of multi-point crossover. In Foundatzons of Genel,c Algorithms G. Rawlins (Ed.), Morgan Kaufmann, 1991.
	13	D. Whitley (Ed.), Foundatwns of Genetzc Algorithms-2, Morgan Kaufmann, 1993.