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Hierarchical BOA on random decomposable problems
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Source Genetic And Evolutionary Computation Conference archive
Proceedings of the 8th annual conference on Genetic and evolutionary computation table of contents
Seattle, Washington, USA
POSTER SESSION: Estimation of distribution algorithms: posters table of contents
Pages: 431 - 432  
Year of Publication: 2006
ISBN:1-59593-186-4
Authors
Martin Pelikan  University of Missouri-St. Louis, St. Louis, MO
Kumara Sastry  University of Illinois at Urbana-Champaign, Urbana, IL
Martin V. Butz  University of Würzburg, Würzburg, Germany
David E. Goldberg  University of Illinois at Urbana-Champaign, Urbana, IL
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): 2,   Downloads (12 Months): 30,   Citation Count: 2
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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
M. Pelikan and D. E. Goldberg. Escaping hierarchical traps with competent genetic algorithms. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pages 511--518, 2001.
 
2
M. Pelikan, K. Sastry, M. V. Butz, and D. E. Goldberg. Hierarchical BOA on random decomposable problems. MEDAL Report No. 2006001, Missouri Estimation of Distribution Algorithms Laboratory, University of Missouri-St. Louis, St. Louis, MO, 2006.


Collaborative Colleagues:
Martin Pelikan: colleagues
Kumara Sastry: colleagues
Martin V. Butz: colleagues
David E. Goldberg: colleagues