[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
Skip header Section
Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications (Studies in Computational Intelligence)November 2006
Publisher:
  • Springer-Verlag
  • Berlin, Heidelberg
ISBN:978-3-540-34953-2
Published:01 November 2006
Skip Bibliometrics Section
Reflects downloads up to 05 Jan 2025Bibliometrics
Abstract

No abstract available.

Cited By

  1. Spirov A and Myasnikova E (2023). Problem of Domain/Building Block Preservation in the Evolution of Biological Macromolecules and Evolutionary Computation, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 20:2, (1345-1362), Online publication date: 1-Mar-2023.
  2. ACM
    Witt C Theory of estimation-of-distribution algorithms Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, (1254-1282)
  3. ACM
    Witt C Theory of estimation-of-distribution algorithms Proceedings of the Genetic and Evolutionary Computation Conference Companion, (1197-1225)
  4. ACM
    Witt C Theory of estimation-of-distribution algorithms Proceedings of the Genetic and Evolutionary Computation Conference Companion, (1170-1197)
  5. Soares A, Rbelo R and Delbem A (2017). Optimization based on phylogram analysis, Expert Systems with Applications: An International Journal, 78:C, (32-50), Online publication date: 15-Jul-2017.
  6. ACM
    Janikow C and Hauschild M Automatic generation of domain-specific genetic algorithm operators using the hierarchical bayesian optimization algorithm Proceedings of the Genetic and Evolutionary Computation Conference, (801-808)
  7. Martí L, García J, Berlanga A and Molina J (2016). MONEDA, Journal of Global Optimization, 66:4, (729-768), Online publication date: 1-Dec-2016.
  8. ACM
    Bosman P, Luong N and Thierens D Expanding from Discrete Cartesian to Permutation Gene-pool Optimal Mixing Evolutionary Algorithms Proceedings of the Genetic and Evolutionary Computation Conference 2016, (637-644)
  9. Zhou A, Sun J and Zhang Q (2015). An Estimation of Distribution Algorithm With Cheap and Expensive Local Search Methods, IEEE Transactions on Evolutionary Computation, 19:6, (807-822), Online publication date: 1-Dec-2015.
  10. Baluja S, Covell M and Sukthankar R The Virtues of Peer Pressure Proceedings, Part II, of the 16th International Conference on Computer Analysis of Images and Patterns - Volume 9257, (96-108)
  11. Martins J and Delbem A (2014). Efficiency enhancement of estimation of distribution algorithms by a compressed tournament selection, Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, 26:5, (2537-2545), Online publication date: 1-Sep-2014.
  12. Muelas S, Mendiburu A, Latorre A and Peña J (2014). Distributed Estimation of Distribution Algorithms for continuous optimization, Information Sciences: an International Journal, 268, (231-254), Online publication date: 1-Jun-2014.
  13. ACM
    Rojas-Galeano S and Rodriguez N Goldenberry Proceedings of the 15th annual conference companion on Genetic and evolutionary computation, (1325-1332)
  14. ACM
    Bajer L, Charypar V and Holeňa M Model guided sampling optimization with gaussian processes for expensive black-box optimization Proceedings of the 15th annual conference companion on Genetic and evolutionary computation, (1715-1716)
  15. ACM
    Bosman P and Thierens D More concise and robust linkage learning by filtering and combining linkage hierarchies Proceedings of the 15th annual conference on Genetic and evolutionary computation, (359-366)
  16. ACM
    Lanillos P, Yañez-Zuluaga J, Ruz J and Besada-Portas E A bayesian approach for constrained multi-agent minimum time search in uncertain dynamic domains Proceedings of the 15th annual conference on Genetic and evolutionary computation, (391-398)
  17. Karshenas H, Santana R, Bielza C and LarrañAga P (2013). Regularized continuous estimation of distribution algorithms, Applied Soft Computing, 13:5, (2412-2432), Online publication date: 1-May-2013.
  18. ACM
    Rojas-Galeano S and Rodriguez N A memory efficient and continuous-valued compact EDA for large scale problems Proceedings of the 14th annual conference on Genetic and evolutionary computation, (281-288)
  19. ACM
    Pelikan M and Hauschild M Distance-based bias in model-directed optimization of additively decomposable problems Proceedings of the 14th annual conference on Genetic and evolutionary computation, (273-280)
  20. ACM
    Santana R Estimation of distribution algorithms Proceedings of the 13th annual conference companion on Genetic and evolutionary computation, (679-686)
  21. ACM
    Bosman P and Thierens D The roles of local search, model building and optimal mixing in evolutionary algorithms from a bbo perspective Proceedings of the 13th annual conference companion on Genetic and evolutionary computation, (663-670)
  22. ACM
    Pelikan M Analysis of epistasis correlation on NK landscapes with nearest-neighbor interactions Proceedings of the 13th annual conference on Genetic and evolutionary computation, (1013-1020)
  23. ACM
    Thierens D and Bosman P Optimal mixing evolutionary algorithms Proceedings of the 13th annual conference on Genetic and evolutionary computation, (617-624)
  24. ACM
    Ceberio J, Mendiburu A and Lozano J A preliminary study on EDAs for permutation problems based on marginal-based models Proceedings of the 13th annual conference on Genetic and evolutionary computation, (609-616)
  25. Weise T, Niemczyk S, Chiong R and Wan M A framework for multi-model EDAs with model recombination Proceedings of the 2011 international conference on Applications of evolutionary computation - Volume Part I, (304-313)
  26. Karshenas H, Santana R, Bielza C and Larrañaga P Multi-objective optimization with joint probabilistic modeling of objectives and variables Proceedings of the 6th international conference on Evolutionary multi-criterion optimization, (298-312)
  27. Martins J, Soares A, Vargas D and Delbem A Multi-objective phylogenetic algorithm Proceedings of the 6th international conference on Evolutionary multi-criterion optimization, (285-297)
  28. Hauschild M and Pelikan M Performance of network crossover on NK landscapes and spin glasses Proceedings of the 11th international conference on Parallel problem solving from nature: Part II, (462-471)
  29. Thierens D The linkage tree genetic algorithm Proceedings of the 11th international conference on Parallel problem solving from nature: Part I, (264-273)
  30. ACM
    Thierens D Linkage tree genetic algorithm Proceedings of the 12th annual conference companion on Genetic and evolutionary computation, (1953-1958)
  31. ACM
    Lobo F and Lima C Towards automated selection of estimation of distribution algorithms Proceedings of the 12th annual conference companion on Genetic and evolutionary computation, (1945-1952)
  32. ACM
    Hauschild M and Pelikan M Network crossover performance on NK landscapes and deceptive problems Proceedings of the 12th annual conference on Genetic and evolutionary computation, (713-720)
  33. Pospichal P, Jaros J and Schwarz J Parallel genetic algorithm on the CUDA architecture Proceedings of the 2010 international conference on Applications of Evolutionary Computation - Volume Part I, (442-451)
  34. Yu T, Goldberg D, Sastry K, Lima C and Pelikan M (2009). Dependency structure matrix, genetic algorithms, and effective recombination, Evolutionary Computation, 17:4, (595-626), Online publication date: 1-Dec-2009.
  35. ACM
    Perez-Miguel C, Miguel-Alonso J and Mendiburu A Evaluating the cell broadband engine as a platform to run estimation of distribution algorithms Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers, (2491-2498)
  36. ACM
    Bosman P, Grahl J and Thierens D AMaLGaM IDEAs in noiseless black-box optimization benchmarking Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers, (2247-2254)
  37. ACM
    Pelikan M and Katzgraber H Analysis of evolutionary algorithms on the one-dimensional spin glass with power-law interactions Proceedings of the 11th Annual conference on Genetic and evolutionary computation, (843-850)
  38. ACM
    Valdez-Peña S, Hernández-Aguirre A and Botello-Rionda S Approximating the search distribution to the selection distribution in EDAs Proceedings of the 11th Annual conference on Genetic and evolutionary computation, (461-468)
  39. ACM
    Hauschild M and Pelikan M Intelligent bias of network structures in the hierarchical BOA Proceedings of the 11th Annual conference on Genetic and evolutionary computation, (413-420)
  40. ACM
    Bosman P On empirical memory design, faster selection of bayesian factorizations and parameter-free gaussian EDAs Proceedings of the 11th Annual conference on Genetic and evolutionary computation, (389-396)
  41. Sangkavichitr C and Chongstitvatana P Direct and explicit building blocks identification and composition algorithm Proceedings of the Eleventh conference on Congress on Evolutionary Computation, (2460-2465)
  42. Bosman P, Grahl J and Thierens D Enhancing the Performance of Maximum---Likelihood Gaussian EDAs Using Anticipated Mean Shift Proceedings of the 10th International Conference on Parallel Problem Solving from Nature --- PPSN X - Volume 5199, (133-143)
  43. ACM
    Pelikan M, Sastry K and Goldberg D iBOA Proceedings of the 10th annual conference on Genetic and evolutionary computation, (455-462)
  44. ACM
    Hauschild M, Pelikan M, Sastry K and Goldberg D Using previous models to bias structural learning in the hierarchical BOA Proceedings of the 10th annual conference on Genetic and evolutionary computation, (415-422)
  45. Pelikan M, Sastry K and Goldberg D (2008). Sporadic model building for efficiency enhancement of the hierarchical BOA, Genetic Programming and Evolvable Machines, 9:1, (53-84), Online publication date: 1-Mar-2008.
  46. ACM
    Aggarwal V and O'Reilly U COSMO Proceedings of the 9th annual conference on Genetic and evolutionary computation, (741-748)
  47. ACM
    Zhou A, Zhang Q, Jin Y, Sendhoff B and Tsang E Global multiobjective optimization via estimation of distribution algorithm with biased initialization and crossover Proceedings of the 9th annual conference on Genetic and evolutionary computation, (617-623)
  48. ACM
    Cai Y, Sun X, Xu H and Jia P Cross entropy and adaptive variance scaling in continuous EDA Proceedings of the 9th annual conference on Genetic and evolutionary computation, (609-616)
  49. ACM
    Yu T, Sastry K, Goldberg D and Pelikan M Population sizing for entropy-based model building in discrete estimation of distribution algorithms Proceedings of the 9th annual conference on Genetic and evolutionary computation, (601-608)
  50. ACM
    Pelikan M and Laury J Order or not Proceedings of the 9th annual conference on Genetic and evolutionary computation, (555-561)
  51. ACM
    Pelikan M, Kalapala R and Hartmann A Hybrid evolutionary algorithms on minimum vertex cover for random graphs Proceedings of the 9th annual conference on Genetic and evolutionary computation, (547-554)
  52. ACM
    Bosman P and Thierens D Adaptive variance scaling in continuous multi-objective estimation-of-distribution algorithms Proceedings of the 9th annual conference on Genetic and evolutionary computation, (500-507)
  53. ACM
    Bosman P, Grahl J and Rothlauf F SDR Proceedings of the 9th annual conference on Genetic and evolutionary computation, (492-499)
Contributors
  • Google LLC
  • University of Illinois Urbana-Champaign
  • Yahoo Research Labs
Please enable JavaScript to view thecomments powered by Disqus.

Recommendations