On benchmark properties for adaptive operator selection

Subscribe (Full Service)


	Search: The ACM Digital Library The Guide

	Feedback

On benchmark properties for adaptive operator selection

Full text

Pdf (443 KB)

Source

Genetic And Evolutionary Computation Conference archive
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers table of contents

Montreal, Québec, Canada

WORKSHOP SESSION: Automated heuristic design: crossing the chasm for search methods table of contents

Pages 2217-2218

Year of Publication: 2009

ISBN:978-1-60558-505-5

Author

Dirk Thierens

Universiteit Utrecht, Utrecht, Netherlands

Sponsors

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

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 8, Downloads (12 Months): 22, Citation Count: 0

Additional Information:

references index terms collaborative colleagues

Tools and Actions:	Request Permissions Review this Article Save this Article to a Binder Display Formats: BibTeX EndNote ACM Ref

DOI Bookmark:	Use this link to bookmark this Article: http://doi.acm.org/10.1145/1570256.1570306 What is a DOI?

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	Luis DaCosta , Alvaro Fialho , Marc Schoenauer , Michèle Sebag, Adaptive operator selection with dynamic multi-armed bandits, Proceedings of the 10th annual conference on Genetic and evolutionary computation, July 12-16, 2008, Atlanta, GA, USA [doi>10.1145/1389095.1389272]
	2	Álvaro Fialho , Luís Costa , Marc Schoenauer , Michèle Sebag, Extreme Value Based Adaptive Operator Selection, Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X, September 13-17, 2008, Dortmund, Germany [doi>10.1007/978-3-540-87700-4_18]
	3	A. Fialho, L. Da Costa, M. Schoenauer, and M. Sebag. Dynamic multi-armed bandits and extreme value-based rewards for adaptive operator selection in evolutionary algorithms. In LION'09: Proceedings of the 3rd International Conference on Learning and Intelligent Optimization (to appear). SV, 2009.
	4	Dirk Thierens, An adaptive pursuit strategy for allocating operator probabilities, Proceedings of the 2005 conference on Genetic and evolutionary computation, June 25-29, 2005, Washington DC, USA [doi>10.1145/1068009.1068251]