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Tag continuous-edas [11 articles]

Recent papers classified by the tag continuous-edas.
  • Evolutionary Algorithm Using Marginal Histogram in Continuous Domain
    (July 2001), pp. 230-233.
    by Shigeyoshi Tsutsui, Martin Pelikan, David E Goldberg
    posted to continuous-edas edas by rsantana on 2007-06-06 11:37:27 as read along with 1 person petrposik
  • The correlation-triggered adaptive variance scaling IDEA
    (2006), pp. 397-404.
    by J&\#246;rn Grahl, Peter AN Bosman, Franz Rothlauf
    posted to continuous-edas edas by rsantana on 2007-03-16 11:34:39 as read along with 1 person petrposik
  • DE/EDA: A new evolutionary algorithm for global optimization
    Information Sciences, Vol. 169, No. 3-4. (1 February 2005), pp. 249-262.
    by Jianyong Sun, Qingfu Zhang, Edward P Tsang
    posted to continuous-edas edas by rsantana on 2007-07-17 12:08:32 as read
  • MOPED: A Multi-objective Parzen-Based Estimation of Distribution Algorithm for Continuous Problems
    Evolutionary Multi-Criterion Optimization: Second International Conference, EMO 2003, Faro, Portugal, April 8-11, 2003. Proceedings (2003), pp. 71-71.
    by Mario Costa, Edmondo Minisci
    posted to continuous-edas edas multiobjective by rsantana on 2007-09-07 15:38:58 as **
  • Extending Population-Based Incremental Learning to Continuous Search Spaces
    Lecture Notes in Computer Science, Vol. 1498 (1998), pp. 418-??.
    by Michèle Sebag, Antoine Ducoulombier
    posted to continuous-edas edas pbil by rsantana on 2007-08-17 11:21:24 as ** along with 2 people and 3 groups scis0000001 nojhan EvolutionaryComputation Metaheuristics Optimization
  • Adaptive estimated maximum-entropy distribution model
    Information Sciences, Vol. 177, No. 15. (1 August 2007), pp. 3110-3128.
    by Ling Tan, David Taniar
    posted to adaptation clustering continuous-edas edas entropy by rsantana on 2007-07-17 10:53:54 as read
  • Evolutionary Bayesian Classifier-Based Optimization in Continuous Domains
    Lecture Notes in Computer Science : Simulated Evolution and Learning (2006), pp. 529-536.
    by Teresa Miquã©lez, Endika Bengoetxea, Pedro Larraã±aga
    posted to edas continuous-edas bayesian-edas bayesian by rsantana on 2007-01-19 19:41:36 as ** along with 1 person and 3 groups nojhan EvolutionaryComputation Metaheuristics Optimization
  • Probabilistic modeling for continuous EDA with Boltzmann selection and Kullback-Leibeler divergence
    (2006), pp. 389-396.
    by Cai Yunpeng, Sun Xiaomin, Jia Peifa
    posted to selection learning edas continuous-edas by rsantana on 2007-01-19 19:43:41 as **** along with 2 people and 4 groups nojhan lmarti EvolutionaryComputation Metaheuristics Optimization estimation_of_distribution_algorithms
  • Estimation of Distribution Algorithms
    Metaheuristic Procedures for Training Neutral Networks (2006), pp. 87-108.
    by Julio Madera, Bernabé Dorronsoro
    posted to continuous-edas edas neural-networks by rsantana on 2007-09-04 10:26:45 as read along with 1 person abellogin
  • Combining the Strengths of the Bayesian Optimization Algorithm and Adaptive Evolution Strategies
    by Martin Pelikan, David E Goldberg, Shigeyoshi Tsutsui
    posted to adaptation bayesian-edas boa continuous-edas edas by rsantana on 2007-08-21 10:25:37 as ** along with 1 person petrposik
  • Estimating Continuous Distributions in Bayesian Classifiers
    pp. 338-345.
    by George H John, Pat Langley
    posted to bayesian bayesian-networks continuous-edas graphical-models by rsantana on 2007-04-03 12:36:40 as ***** along with 6 people and 2 groups JoSeK garyfeng cdnewbee xiaoyan2006 azazello meisi ReadingLab VT_DLRL
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