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Volumn , Issue , 2009, Pages 991-996

Population distributions in biogeography-based optimization algorithms with elitism

Author keywords

Biogeography based optimization; Combinatorics; Evolutionary algorithms; Markov analysis; Probability

Indexed keywords

COMBINATORICS; GEOGRAPHICAL DISTRIBUTION; HIGH MUTATION RATE; MARKOV ANALYSIS; MUTATION RATES; OPTIMIZATION ALGORITHMS; POPULATION DISTRIBUTION;

EID: 74849116370     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMC.2009.5346058     Document Type: Conference Paper
Times cited : (81)

References (16)
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  • 8
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    • D. Simon, A probabilistic analysis of a simple biogeography-based optimization algorithm, unpublished. Available online at http://academic.csuohio.edu/simond/bbo/simplified.
    • D. Simon, "A probabilistic analysis of a simple biogeography-based optimization algorithm," unpublished. Available online at http://academic.csuohio.edu/simond/bbo/simplified.
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    • Beaulieu, N.1
  • 12
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    • D. Simon, M. Ergezer, and D. Du, Markov models for biogeography-based optimization and genetic algorithms with global uniform recombination, unpublished. Available online at http://academic.csuohio. edu/simond/bbo/markov.
    • D. Simon, M. Ergezer, and D. Du, "Markov models for biogeography-based optimization and genetic algorithms with global uniform recombination," unpublished. Available online at http://academic.csuohio. edu/simond/bbo/markov.
  • 13
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    • T. Davis and J. Principe, A simulated annealing like convergence theory for the simple genetic algorithms, in Proceedings of the Fourth International Conference on Genetic Algorithms, R. Belew and L. Booker, Eds. San Francisco, CA: Morgan Kauffman, 1991, pp. 174-181.
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  • 14
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.