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Volumn 1, Issue , 2006, Pages 389-396

Probabilistic modeling for continuous EDA with Boltzmann selection and Kullback-Leibeler divergence

Author keywords

Boltzmann Selection; Continuous Optimization; Estimation of Distribution Algorithms; Evolutionary Computation

Indexed keywords

BENCHMARKING; MATHEMATICAL MODELS; MATRIX ALGEBRA;

EID: 33750253981     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1143997.1144070     Document Type: Conference Paper
Times cited : (15)

References (30)
  • 1
    • 0003984832 scopus 로고
    • Population based incremental learning - A method for integrating genetic search based function optimisation and competitive learning
    • CMU, Jun.
    • S. Baluja. Population Based Incremental Learning - A Method for Integrating Genetic Search Based Function Optimisation and Competitive Learning. Technical Report CMU-CS-94-163, CMU, Jun. 1994.
    • (1994) Technical Report , vol.CMU-CS-94-163
    • Baluja, S.1
  • 3
    • 84947940068 scopus 로고    scopus 로고
    • Selection and reinforcement learning for combinatorial optimization
    • Springer Verlag
    • A. Berny. Selection and Reinforcement Learning for Combinatorial Optimization. In Parallel Problem Solving from Nature - PPSN VI, pages 601-610. Springer Verlag, 2000.
    • (2000) Parallel Problem Solving from Nature - PPSN VI , pp. 601-610
    • Berny, A.1
  • 4
    • 15544375067 scopus 로고    scopus 로고
    • Statistical machine learning and combinatorial optimization
    • Springer Verlag
    • A. Berny. Statistical Machine Learning and Combinatorial Optimization. In Theoretical Aspects of Evolutionary Computation, pages 287-306. Springer Verlag, 2001.
    • (2001) Theoretical Aspects of Evolutionary Computation , pp. 287-306
    • Berny, A.1
  • 5
    • 33750259158 scopus 로고    scopus 로고
    • Matching inductive search bias and problem structure in continuous estimation of distribution algorithms
    • Dept. of Logistics, Mannheim Business School
    • P. Bosman and J. Grahl. Matching Inductive Search Bias and Problem Structure in Continuous Estimation of Distribution Algorithms. Technical Report 03/2005, Dept. of Logistics, Mannheim Business School, 2005.
    • (2005) Technical Report , vol.3 , Issue.2005
    • Bosman, P.1    Grahl, J.2
  • 6
    • 4344658722 scopus 로고    scopus 로고
    • Mixed IDEAs
    • Utrech University
    • P. Bosman and D. Thierens. Mixed IDEAs. Technical Report UU-CS-2000-45, Utrech University, 1999.
    • (1999) Technical Report , vol.UU-CS-2000-45
    • Bosman, P.1    Thierens, D.2
  • 7
    • 84947922384 scopus 로고    scopus 로고
    • Expanding from discrete to continuous estimation of distribution algorithms: The IDEA
    • Paris, France, Sep. Springer-Verlag
    • P. Bosman and D. Thierens. Expanding from Discrete to Continuous Estimation of Distribution Algorithms: The IDEA. In Parallel Problem Solving from Nature -PPSN VI, pages 767-776, Paris, France, Sep. 2000. Springer-Verlag.
    • (2000) Parallel Problem Solving from Nature -PPSN VI , pp. 767-776
    • Bosman, P.1    Thierens, D.2
  • 10
    • 15544373170 scopus 로고    scopus 로고
    • Population-based continuous optimization, probabilistic modelling and mean shift
    • M. Gallagher and M. Frean. Population-Based Continuous Optimization, Probabilistic Modelling and Mean Shift. Evolutionary Computation, 13(1):29-42, 2005.
    • (2005) Evolutionary Computation , vol.13 , Issue.1 , pp. 29-42
    • Gallagher, M.1    Frean, M.2
  • 11
    • 0036856581 scopus 로고    scopus 로고
    • Mathematical modelling of UMDAc algorithm with tournament selection: Behaviour on linear and quadratic' functions
    • C. Gonzalez, J. Lozano, and P. Larrañaga. Mathematical Modelling of UMDAc Algorithm with Tournament Selection: Behaviour on Linear and Quadratic' Functions. International Journal of Approximate Reasoning, 31(2):313-340, 2002.
    • (2002) International Journal of Approximate Reasoning , vol.31 , Issue.2 , pp. 313-340
    • Gonzalez, C.1    Lozano, J.2    Larrañaga, P.3
  • 12
    • 27144489429 scopus 로고    scopus 로고
    • Behaviour of UMDAc with truncation selection on monotonous functions
    • Edinburgh, Scotland. IEEE
    • J. Grahl, S. Minner, and F. Rothlauf. Behaviour of UMDAc with Truncation Selection on Monotonous Functions. In The 2005 IEEE Congress on Evolutionary Computation, pages 2553-2559, Edinburgh, Scotland, 2005. IEEE.
    • (2005) The 2005 IEEE Congress on Evolutionary Computation , pp. 2553-2559
    • Grahl, J.1    Minner, S.2    Rothlauf, F.3
  • 15
    • 33750255180 scopus 로고    scopus 로고
    • Estimation of distribution algorithms based on multivariate normal and Gaussian networks
    • University of the Basque Country
    • P. Larrañaga, J. A. Lozano, and E. Bengoetxea. Estimation of Distribution Algorithms based on Multivariate Normal and Gaussian Networks. Technical Report EHU-KZAA-IK-1-01, University of the Basque Country, 2001.
    • (2001) Technical Report , vol.EHU-KZAA-IK-1-01
    • Larrañaga, P.1    Lozano, J.A.2    Bengoetxea, E.3
  • 17
    • 15544386981 scopus 로고    scopus 로고
    • Evolutionary algorithms and the Boltzmann distribution
    • Morgan Kaufmann
    • H. Mühlenbein and T. Mahnig. Evolutionary algorithms and the Boltzmann Distribution. In Foundations of genetic algorithms (FOGA-7), pages 133-150. Morgan Kaufmann, 2003.
    • (2003) Foundations of Genetic Algorithms (FOGA-7) , pp. 133-150
    • Mühlenbein, H.1    Mahnig, T.2
  • 18
    • 0345504778 scopus 로고    scopus 로고
    • Schemata, distributions and graphical models in evolutionary optimization
    • H. Mühlenbein, T. Mahnig, and A. O. Rodriguez. Schemata, Distributions and Graphical Models in Evolutionary Optimization. Journal of Heuristics, 5:215-247, 1999.
    • (1999) Journal of Heuristics , vol.5 , pp. 215-247
    • Mühlenbein, H.1    Mahnig, T.2    Rodriguez, A.O.3
  • 19
    • 0031215849 scopus 로고    scopus 로고
    • The equation for response to selection and its use for prediction
    • H. Mühlenbein. The Equation for Response to Selection and Its Use for Prediction. Evolutionary Computation, 5(3):303-346, 1997.
    • (1997) Evolutionary Computation , vol.5 , Issue.3 , pp. 303-346
    • Mühlenbein, H.1
  • 20
    • 4344665813 scopus 로고    scopus 로고
    • Estimation of distribution algorithm for mixed continuous-discrete optimization problems
    • Kosice, Slowakia. IOS Press
    • J. Oceanasek and J. Schwarz. Estimation of Distribution Algorithm for Mixed Continuous-discrete Optimization Problems. In 2nd Euro-International Symposium on Computational Intelligence, pages 227-232, Kosice, Slowakia, 2002. IOS Press.
    • (2002) 2nd Euro-International Symposium on Computational Intelligence , pp. 227-232
    • Oceanasek, J.1    Schwarz, J.2
  • 23
    • 0011801192 scopus 로고    scopus 로고
    • PhD thesis, Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL. USA. IlliGAL Report No. 2002023
    • M. Pelikan. Bayesian Optimization Algorithm: From Single Level to Hierarchy. PhD thesis, Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL. USA, 2002. IlliGAL Report No. 2002023.
    • (2002) Bayesian Optimization Algorithm: From Single Level to Hierarchy
    • Pelikan, M.1
  • 25
    • 0141844529 scopus 로고    scopus 로고
    • Getting the best of both worlds: Discrete and continuous genetic and evolutionary algorithms in concert
    • M. Pelikan, D. Goldberg, and S. Tsutsui. Getting the Best of Both Worlds: Discrete and Continuous Genetic and Evolutionary Algorithms in Concert. Information Sciences, 156(3-4): 147-171, 2003.
    • (2003) Information Sciences , vol.156 , Issue.3-4 , pp. 147-171
    • Pelikan, M.1    Goldberg, D.2    Tsutsui, S.3
  • 27
    • 84878615636 scopus 로고    scopus 로고
    • Extending population-based incremental learning to continuous search spaces
    • Amsterdam, Netherlands, Sep. Springer-Verlag
    • M. Sebag and A. Ducoulombier. Extending Population-Based Incremental Learning to Continuous Search Spaces. In Parallel Problem Solving from Nature - PPSN V., pages 418-427, Amsterdam, Netherlands, Sep. 1998. Springer-Verlag.
    • (1998) Parallel Problem Solving from Nature - PPSN V , pp. 418-427
    • Sebag, M.1    Ducoulombier, A.2
  • 29
    • 0034878678 scopus 로고    scopus 로고
    • Bayesian evolutionary-algorithms for continuous function optimization
    • IEEE
    • S. Shin and B.-T. Zhang. Bayesian Evolutionary-Algorithms for Continuous Function Optimization. In Proc. 2001 Congress on Evolutionary Computation, pages 508-515. IEEE, 2001.
    • (2001) Proc. 2001 Congress on Evolutionary Computation , pp. 508-515
    • Shin, S.1    Zhang, B.-T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.