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Another investigation on tournament selection: modelling and visualisation
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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
SESSION: Genetic algorithms: papers table of contents
Pages: 1468 - 1475  
Year of Publication: 2007
ISBN:978-1-59593-697-4
Authors
Huayang Xie  Victoria University of Wellington
Mengjie Zhang  Victoria University of Wellington
Peter Andreae  Victoria University of Wellington
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

Tournament selection has been widely used and studied in evolutionary algorithms. To supplement the study of tournament selection, this paper provides several models describing the probabilities that a program of a particular rank is sampled and is selected in the standard tournament selection in a simple situation and a complex situation. This paper discovers that, with the same tournament size, trends of sampling probability of a program and selection probability distributions of a population are the same regardless ofthe population size. This paper also models and investigates an alternative tournament selection method which eliminates one of the drawbacks in the standard tournament selection. Finally, this paper proposes a new fitness evaluation saving algorithm via the use of not-sampled individuals, which is a special property of tournament selection.


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.

 
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B. L. Miller and D. E. Goldberg. Genetic algorithms, tournament selection, and the effects of noise. Technical Report 95006, University of Illinois at Urbana-Champaign, July 1995.
 
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R. Poli. Tournament selection, iterated coupon-collection problem, and backward-chaining evolutionary algorithms. In Foundations of Genetic Algorithms, volume 3469 of Lecture Notes in Computer Science, pages 132--155. Springer-Verlag, 2005.
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H. Xie, M. Zhang, and P. Andreae. Population clustering in genetic programming. In Proceedings of the 9th European Conference, EuroGP 2006, volume 3905 of LNCS, pages 190--201. Springer-Verlag, 2006.

Collaborative Colleagues:
Huayang Xie: colleagues
Mengjie Zhang: colleagues
Peter Andreae: colleagues