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lmartis library [29 articles]

Nye artikler sendt til lmartis bibliotek.
  • Testing Statistical Hypotheses (Springer Texts in Statistics)
    (28 June 2006)
    by EL Lehmann, Joseph P Romano
  • Protein Folding in Simplified Models With Estimation of Distribution Algorithms
    Evolutionary Computation, IEEE Transactions on, Vol. 12, No. 4. (2008), pp. 418-438.
  • A faster algorithm for calculating hypervolume
    Evolutionary Computation, IEEE Transactions on, Vol. 10, No. 1. (2006), pp. 29-38.
    by L While, P Hingston, L Barone, S Huband
    posted to no-tag by lmarti on 2008-04-29 02:13:30 as ** along with 1 person katushkin
  • On metrics for comparing non-dominated sets
    (2002)
    by J Knowles, D Corne
    posted to no-tag by lmarti on 2008-04-25 22:51:05 as ** along with 1 person katushkin
  • Scalable Continuous Multiobjective Optimization with a Neural Network–Based Estimation of Distribution Algorithm
    Applications of Evolutionary Computing (2008), pp. 535-544.
    by Luis Martí, Jesús García, Antonio Berlanga, José Molina
  • Use of the WFG Toolkit and PISA for Comparison of MOEAs
    Computational Intelligence in Multicriteria Decision Making, IEEE Symposium on (2007), pp. 382-389.
    posted to fish multiobjective pisa problems test walking by lmarti on 2008-03-04 15:52:51 as **
  • A review of multiobjective test problems and a scalable test problem toolkit
    Evolutionary Computation, IEEE Transactions on, Vol. 10, No. 5. (2006), pp. 477-506.
    by S Huband, P Hingston, L Barone, L While
    posted to fish problems test toolkit walking by lmarti on 2008-03-04 15:40:59 as ** along with 2 people gugamar ashwinjoshi
  • Open Problems in Artificial Life
    Artificial Life, Vol. 6 (2000), pp. 363-376.
    posted to no-tag by lmarti on 2008-03-03 00:56:46 as ** along with 3 people balicea rsantana summerian
  • Instance Generators and Test Suites for the Multiobjective Quadratic Assignment Problem
    Evolutionary Multi-Criterion Optimization (2003), pp. 72-72.
    by Joshua Knowles, David Corne
    posted to emo multiobjective quadratic by lmarti on 2008-03-03 00:48:42 as **
  • A tutorial for competent memetic algorithms: model, taxonomy, and design issues
    Evolutionary Computation, IEEE Transactions on, Vol. 9, No. 5. (2005), pp. 474-488.
    posted to memetic tutorial by lmarti on 2008-03-03 00:43:17 as **
  • Multiple criteria decision making for engineering
    Omega, Vol. 36, No. 3. (June 2008), pp. 337-339.
    by Margaret M Wiecek, Matthias Ehrgott, Georges Fadel, Rui
    posted to classical emo by lmarti on 2008-02-25 08:39:16 as **
  • Many-Objective Optimization: An Engineering Design Perspective
    Evolutionary Multi-Criterion Optimization (2005), pp. 14-32.
    by Peter J Fleming, Robin C Purshouse, Robert J Lygoe
    posted to many objective scalability by lmarti on 2008-02-25 08:34:28 as **
  • Evolutionary Algorithms for Solving Multi-Objective Problems
    (2007)
    by Coello, Gary B Lamont, David A Van Veldhuizen
    posted to book multiobjective survey by lmarti on 2008-01-17 00:52:06 as ** along with 1 group GIAA -- UC3M
  • An extension to possibilistic fuzzy cluster analysis
    Fuzzy Sets and Systems, Vol. 147, No. 1. (1 October 2004), pp. 3-16.
    by Heiko Timm, Christian Borgelt, Christian Doring, Rudolf Kruse
    posted to no-tag by lmarti on 2007-10-19 10:28:55 as **
  • Fuzzy Cluster Analysis with Cluster Repulsion
    by Heiko Timm, Christian Borgelt, Christian Doring, Rudolf Kruse
    posted to no-tag by lmarti on 2007-10-19 10:06:41 as **
  • Comprehensive learning particle swarm optimizer for global optimization of multimodal functions
    Evolutionary Computation, IEEE Transactions on, Vol. 10, No. 3. (2006), pp. 281-295.
    by JJ Liang, AK Qin, PN Suganthan, S Baskar
    posted to no-tag by lmarti on 2007-10-19 09:42:27 as ** along with 1 person sato-ryu
  • Automatic construction of radial basis function networks with the growing neural gas model and its relevance for fuzzy logic
    (1996), pp. 624-627.
    by Bernd Fritzke
  • Random sampling based SVM for relevance feedback image retrieval
    Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on, Vol. 2 (2004), pp. II-647-II-652 Vol.2.
    by Dacheng Tao, Xiaoou Tang
  • Real-Coded Bayesian Optimization Algorithm: Bringing the Strength of BOA into the Continuous World
    : Genetic and Evolutionary Computation – GECCO 2004 (2004), pp. 840-851.
    by Chang W Ahn, RS Ramakrishna, David E Goldberg
  • Probabilistic modeling for continuous EDA with Boltzmann selection and Kullback-Leibeler divergence
    (2006), pp. 389-396.
    by Cai Yunpeng, Sun Xiaomin, Jia Peifa
  • A tutorial on support vector regression
    (1998)
    by A Smola, B Sch
  • Kernel-based Methods and Function Approximation
    (2001)
    by G Baudat, F Anouar
  • A SVM function approximation approach with good performances in interpolation and extrapolation
    Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on, Vol. 3 (2005), pp. 1648-1653 Vol. 3.
    by Jinlong An, Zheng-Ou Wang, Qingxin Yang, Zhenping Ma
  • Multiobjective hBOA, clustering, and scalability
    (2005), pp. 663-670.
    by Martin Pelikan, Kumara Sastry, David E Goldberg
  • Efficient and Reliable Evolutionary Multiobjective Optimization Using e-Dominance Archiving and Adaptive Population Sizing
    : Genetic and Evolutionary Computation – GECCO 2004 (2004), pp. 390-391.
    by Venkat Devireddy, Patrick Reed
  • Improving the Performance of Evolutionary Algorithms for the Multiobjective 0/1 Knapsack Problem Using e-Dominance
    : Computational Science - ICCS 2004 (2004), pp. 674-677.
    by C Grosan, M Oltean
  • Epsilon Dominance and Constraint Partitioning in Multiple Objective Problems
    Journal of Global Optimization, Vol. 12, No. 4. (1 June 1998), pp. 435-448.
    by DJ White
  • Interactions and dependencies in estimation of distribution algorithms
    Evolutionary Computation, 2005. The 2005 IEEE Congress on, Vol. 2 (2005), pp. 1418-1425 Vol. 2.
  • A Simple Approach for Finding The Globally Optimal Bayesian Network Structure
    by Tomi Silander, Petri Myllymäki
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