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Volumn , Issue , 2008, Pages 415-422

Using previous models to bias structural learning in the hierarchical BOA

Author keywords

Algorithms; Performance

Indexed keywords

ALGORITHMS; EVOLUTIONARY ALGORITHMS; OPTIMIZATION; PROBABILITY DISTRIBUTIONS;

EID: 57349145283     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1389095.1389172     Document Type: Conference Paper
Times cited : (26)

References (28)
  • 1
    • 34548089107 scopus 로고    scopus 로고
    • Incorporating a priori knowledge in probabilistic-model based optimization
    • M. Pelikan, K. Sastry, and E. Cantú-Paz, editors, Springer
    • S. Baluja. Incorporating a priori knowledge in probabilistic-model based optimization. In M. Pelikan, K. Sastry, and E. Cantú-Paz, editors, Scalable optimization via probabilistic modeling: From algorithms to applications, pages 205-219. Springer, 2006.
    • (2006) Scalable optimization via probabilistic modeling: From algorithms to applications , pp. 205-219
    • Baluja, S.1
  • 2
    • 57349124327 scopus 로고    scopus 로고
    • A performance comparison of evolutionary meta-heuristics and solving MAX-SAT problems
    • A. Okatan, editor, International Computational Intelligence Society
    • D. Boughaci and H. Drias. A performance comparison of evolutionary meta-heuristics and solving MAX-SAT problems. In A. Okatan, editor, International Conference on Computational Intelligence, pages 379-383. International Computational Intelligence Society, 2004.
    • (2004) International Conference on Computational Intelligence , pp. 379-383
    • Boughaci, D.1    Drias, H.2
  • 3
    • 34548094843 scopus 로고    scopus 로고
    • A. E. I. Brownlee, J. A. W. McCall, and D. F. Brown. Solving the MAXSAT problem using a multivariate EDA based on markov networks. In P. A. N. Bosman, editor, Late breaking paper at Genetic and Evolutionary Computation Conference (GECCO'2007), pages 2423-2428, London, United Kingdom, 7-11 July 2007. ACM Press.
    • A. E. I. Brownlee, J. A. W. McCall, and D. F. Brown. Solving the MAXSAT problem using a multivariate EDA based on markov networks. In P. A. N. Bosman, editor, Late breaking paper at Genetic and Evolutionary Computation Conference (GECCO'2007), pages 2423-2428, London, United Kingdom, 7-11 July 2007. ACM Press.
  • 4
    • 0011843617 scopus 로고    scopus 로고
    • A Bayesian approach to learning Bayesian networks with local structure
    • Technical Report MSR-TR-97-07, Microsoft Research, Redmond, WA
    • D. M. Chickering, D. Heckerman, and C. Meek. A Bayesian approach to learning Bayesian networks with local structure. Technical Report MSR-TR-97-07, Microsoft Research, Redmond, WA, 1997.
    • (1997)
    • Chickering, D.M.1    Heckerman, D.2    Meek, C.3
  • 6
    • 0000220520 scopus 로고    scopus 로고
    • Learning Bayesian networks with local structure
    • M. I. Jordan, editor, MIT Press
    • N. Friedman and M. Goldszmidt. Learning Bayesian networks with local structure. In M. I. Jordan, editor, Graphical models, pages 421-159. MIT Press, 1999.
    • (1999) Graphical models , pp. 421-159
    • Friedman, N.1    Goldszmidt, M.2
  • 9
    • 0036516407 scopus 로고    scopus 로고
    • Evolutionary algorithms for the satisfiability problem
    • J. Gottlieb, E. Marchiori, and C. Rossi. Evolutionary algorithms for the satisfiability problem. Evolutionary Computation, 10(l):35-50, 2002.
    • (2002) Evolutionary Computation , vol.10 , Issue.L , pp. 35-50
    • Gottlieb, J.1    Marchiori, E.2    Rossi, C.3
  • 12
    • 57349160130 scopus 로고    scopus 로고
    • H. H. Hoos and T. Stutzle. Satlib: An online resource for research on sat. SAT 2000, pages 283-292, 2000. SATLIB is available online at www.satlib.org.
    • H. H. Hoos and T. Stutzle. Satlib: An online resource for research on sat. SAT 2000, pages 283-292, 2000. SATLIB is available online at www.satlib.org.
  • 13
    • 0000086731 scopus 로고
    • Influence diagrams
    • R. A. Howard and J. E. Matheson, editors, Strategic Decisions Group, Menlo Park, CA
    • R. A. Howard and J. E. Matheson. Influence diagrams. In R. A. Howard and J. E. Matheson, editors, Readings on the principles and applications of decision analysis, volume II, pages 721-762. Strategic Decisions Group, Menlo Park, CA, 1981.
    • (1981) Readings on the principles and applications of decision analysis , vol.2 , pp. 721-762
    • Howard, R.A.1    Matheson, J.E.2
  • 15
    • 0036859017 scopus 로고    scopus 로고
    • Evolutionary optimization and the estimation of search distributions with applications to graph bipartitioning
    • H. Mühlenbein and T. Mahnig. Evolutionary optimization and the estimation of search distributions with applications to graph bipartitioning. International Journal on Approximate Reasoning, 31(3):157-192, 2002.
    • (2002) International Journal on Approximate Reasoning , vol.31 , Issue.3 , pp. 157-192
    • Mühlenbein, H.1    Mahnig, T.2
  • 24
    • 57349101339 scopus 로고    scopus 로고
    • K. Sastry. Efficient atomic cluster optimization using a hybrid extended compact genetic algorithm with seeded population. IlliGAL Report No. 2001018, University of Illinois at Urbana-Champaign, Illinois Genetic Algorithms Laboratory, Urbana, IL, 2001.
    • K. Sastry. Efficient atomic cluster optimization using a hybrid extended compact genetic algorithm with seeded population. IlliGAL Report No. 2001018, University of Illinois at Urbana-Champaign, Illinois Genetic Algorithms Laboratory, Urbana, IL, 2001.
  • 25
    • 4344572502 scopus 로고    scopus 로고
    • Master's thesis, University of Illinois at Urbana-Champaign, Department of General Engineering, Urbana, IL
    • K. Sastry. Evaluation-relaxation schemes for genetic and evolutionary algorithms. Master's thesis, University of Illinois at Urbana-Champaign, Department of General Engineering, Urbana, IL, 2001.
    • (2001) Evaluation-relaxation schemes for genetic and evolutionary algorithms
    • Sastry, K.1
  • 27
    • 57349152918 scopus 로고    scopus 로고
    • A problem-knowledge based evolutionary algorithm KBOA for hypergraph partitioning, 2000. Personal communication
    • J. Schwarz and J. Ocenasek. A problem-knowledge based evolutionary algorithm KBOA for hypergraph partitioning, 2000. Personal communication.
    • Schwarz, J.1    Ocenasek, J.2
  • 28
    • 33750280881 scopus 로고    scopus 로고
    • University of Köln, Germany
    • Spin Glass Ground State Server, http://www.informatik.uni-koeln.de/ls\- juenger/research/sgs/sgs.html, 2004. University of Köln, Germany.
    • (2004) Spin Glass Ground State Server


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