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Volumn 4193 LNCS, Issue , 2006, Pages 92-101

Diversity loss in general estimation of distribution algorithms

Author keywords

[No Author keywords available]

Indexed keywords

MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; PARAMETER ESTIMATION; PROBABILITY DISTRIBUTIONS; PROBLEM SOLVING; STATISTICAL METHODS; VECTORS;

EID: 33750227208     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11844297_10     Document Type: Conference Paper
Times cited : (48)

References (12)
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    • Computer Science Department, Carnegie Mellon University
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    • (1994) Technical Report , vol.CMU-CS-94-163
    • Baluja, S.1
  • 3
    • 84958959530 scopus 로고    scopus 로고
    • From recombination of genes to the estimation of distributions i: Binary parameters
    • Mühlenbein, H., Paaß, G.: From recombination of genes to the estimation of distributions i: Binary parameters. In: Proceedings of PPSN IV. (1996) 178-187
    • (1996) Proceedings of PPSN IV , pp. 178-187
    • Mühlenbein, H.1    Paaß, G.2
  • 4
    • 15544368372 scopus 로고    scopus 로고
    • The sensitivity of pbil to its learning rate and how detailed balance can remove it
    • long, K.A.D., Poli, R., Rowe, J.E., eds. Morgan Kaufmann
    • Shapiro, J.L.: The sensitivity of pbil to its learning rate and how detailed balance can remove it. In long, K.A.D., Poli, R., Rowe, J.E., eds.: Foundations of Genetic Algorithms 7. Morgan Kaufmann (2003) 115-132
    • (2003) Foundations of Genetic Algorithms , vol.7 , pp. 115-132
    • Shapiro, J.L.1
  • 5
    • 15544377453 scopus 로고    scopus 로고
    • The detailed balance principle in estimation of distribution algorhithm
    • Shapiro, J.L.: The detailed balance principle in estimation of distribution algorhithm. Evolutionary Computation 13(1) (2005) 99-124
    • (2005) Evolutionary Computation , vol.13 , Issue.1 , pp. 99-124
    • Shapiro, J.L.1
  • 6
    • 32444444502 scopus 로고    scopus 로고
    • Not all linear functions are equally difficult for the compact genetic algorithm
    • ACM
    • Droste, S.: Not all linear functions are equally difficult for the compact genetic algorithm. In: GECCO'05, ACM (2005) 679-686
    • (2005) GECCO'05 , pp. 679-686
    • Droste, S.1
  • 7
    • 0036856581 scopus 로고    scopus 로고
    • Mathematical modelling of umcac algorithm with tournament selection: Behaviour on linear and quadratic functions
    • Gonzalez, C., Lozano, J., Larranaga, P.: Mathematical modelling of umcac algorithm with tournament selection: Behaviour on linear and quadratic functions. International Journal of Approximate Reasoning 31(3) (2002) 313-340
    • (2002) International Journal of Approximate Reasoning , vol.31 , Issue.3 , pp. 313-340
    • Gonzalez, C.1    Lozano, J.2    Larranaga, P.3
  • 8
    • 0011799584 scopus 로고    scopus 로고
    • Bayesian optimization algorithm, population sizing, and time to converge
    • Pelikan, M., Goldberg, D.E., Cantú-Paz, E.: Bayesian optimization algorithm, population sizing, and time to converge. In: Proceedings of GECCO 2000. (2000) 275-282
    • (2000) Proceedings of GECCO 2000 , pp. 275-282
    • Pelikan, M.1    Goldberg, D.E.2    Cantú-Paz, E.3
  • 11
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    • Evolutionary computation and beyond
    • Uesaka, Y., Kanerva, P., Asoh, H., eds. CLSI Publications
    • Mühlenbein, H., Mahnig, T.: Evolutionary computation and beyond. In Uesaka, Y., Kanerva, P., Asoh, H., eds.: Foundations of Real-World Intelligence. CLSI Publications (2001) 123-186
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    • Mühlenbein, H.1    Mahnig, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.