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Volumn , Issue , 2010, Pages

Distributed genetic process mining

Author keywords

[No Author keywords available]

Indexed keywords

COARSE-GRAINED; COMPUTATION TIME; DATA LOG; DISTRIBUTED ALGORITHM; EMPIRICAL EVALUATIONS; GENETIC OPERATORS; GENETIC PROCESS MINING; PARAMETER VALUES; PROCESS MINING; PROCESS MODEL;

EID: 79959403526     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2010.5586250     Document Type: Conference Paper
Times cited : (23)

References (20)
  • 4
    • 0141792090 scopus 로고    scopus 로고
    • Improving flexibility and efficiency by adding parallelism to genetic algorithms
    • DOI 10.1023/A:1014803900897
    • E. Alba and J. M. Troya. Improving flexibility and efficiency by adding parallelism to genetic algorithms. Statistics and Computing, 12(2):91-114, 2002. (Pubitemid 37132823)
    • (2002) Statistics and Computing , vol.12 , Issue.2 , pp. 91-114
    • Alba, E.1    Troya, J.M.2
  • 5
    • 34548083443 scopus 로고    scopus 로고
    • PhD thesis, Technische Universiteit Eindhoven, Eindhoven, The Netherlands
    • A. K. Alves de Medeiros. Genetic Process Mining. PhD thesis, Technische Universiteit Eindhoven, Eindhoven, The Netherlands, 2006.
    • (2006) Genetic Process Mining
    • Alves De Medeiros, A.K.1
  • 8
    • 0035395978 scopus 로고    scopus 로고
    • Migration policies, selection pressure, and parallel evolutionary algorithms
    • DOI 10.1023/A:1011375326814
    • E. Cantú-Paz. Migration policies, selection pressure, and parallel evolutionary algorithms. Journal of Heuristics, 7(4):311-334, 2001. (Pubitemid 32693909)
    • (2001) Journal of Heuristics , vol.7 , Issue.4 , pp. 311-334
    • Cantu-Paz, E.1
  • 9
    • 34147115755 scopus 로고    scopus 로고
    • Parameter setting in parallel genetic algorithms
    • F. G. Lobo, C. F. Lima, and Z. Michalewicz, editors, Parameter Setting in Evolutionary Algorithms, Springer
    • E. Cantú-Paz. Parameter setting in parallel genetic algorithms. In F. G. Lobo, C. F. Lima, and Z. Michalewicz, editors, Parameter Setting in Evolutionary Algorithms, volume 54 of Studies in Computational Intelligence, pages 259-276. Springer, 2007.
    • (2007) Studies in Computational Intelligence , vol.54 , pp. 259-276
    • Cantú-Paz, E.1
  • 10
    • 0033257772 scopus 로고    scopus 로고
    • On the scalability of parallel genetic algorithms
    • E. Cantú-Paz and D. E. Goldberg. On the scalability of parallel genetic algorithms. Evol. Comput., 7(4):429-449, 1999.
    • (1999) Evol. Comput. , vol.7 , Issue.4 , pp. 429-449
    • Cantú-Paz, E.1    Goldberg, D.E.2
  • 12
    • 0001650502 scopus 로고
    • Sizing populations for serial and parallel genetic algorithms
    • San Francisco, CA, USA, Morgan Kaufmann Publishers Inc
    • D. E. Goldberg. Sizing populations for serial and parallel genetic algorithms. In Proceedings of the third international conference on Genetic algorithms, pages 70-79, San Francisco, CA, USA, 1989. Morgan Kaufmann Publishers Inc.
    • (1989) Proceedings of the Third International Conference on Genetic Algorithms , pp. 70-79
    • Goldberg, D.E.1
  • 13
    • 79551550203 scopus 로고    scopus 로고
    • PhD thesis, Technische Universiteit Eindhoven, Eindhoven, The Netherlands
    • C. W. Günther. Process Mining in Flexible Environments. PhD thesis, Technische Universiteit Eindhoven, Eindhoven, The Netherlands, 2009.
    • (2009) Process Mining in Flexible Environments
    • Günther, C.W.1
  • 20
    • 0038002768 scopus 로고    scopus 로고
    • Rediscovering workflow models from event-based data using little thumb
    • A. J. M. M. Weijters and W. M. P. van der Aalst. Rediscovering workflow models from event-based data using little thumb. Integr. Comput.-Aided Eng., 10(2):151-162, 2003.
    • (2003) Integr. Comput.-Aided Eng. , vol.10 , Issue.2 , pp. 151-162
    • Weijters, A.J.M.M.1    Van Der Aalst, W.M.P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.