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Binary particle swarm optimization: a forma analysis approach
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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: Ant colony optimization, swarm intelligence, and artificial immune systems: posters table of contents
Pages: 172 - 172  
Year of Publication: 2007
ISBN:978-1-59593-697-4
Authors
Tao Gong  City University of London, London, United Kingdom
Andrew L Tuson  City University of London, London, United Kingdom
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): 12,   Downloads (12 Months): 69,   Citation Count: 1
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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
J. Kennedy and R. Eberhart. Particle swarm optimization. In IEEE International Conference on Neural Networks, Perth, Australia, 1995.
 
2
N. Radcliffe. The algebra of genetic algorithms. Annals of Maths and Artificial Intelligence, 10:339--384, 1994.

CITED BY
Tao Gong , Andrew L. Tuson, Forma analysis of particle swarm optimisation for permutation problems, Journal of Artificial Evolution and Applications, v.2008 n.3, p.1-16, January 2008

INDEX TERMS

Primary Classification:
  G. Mathematics of Computing
  G.2 DISCRETE MATHEMATICS
      G.2.3 Applications


General Terms:
Algorithms


Keywords:
binary problems, forma analysis, particle swarm optimization

Collaborative Colleagues:
Tao Gong: colleagues
Andrew L Tuson: colleagues

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