Machine learning based decision support for many-objective optimization problems
暂无分享,去创建一个
Qingfu Zhang | Kalyanmoy Deb | Dhish Kumar Saxena | João A. Duro | K. Deb | Qingfu Zhang | D. Saxena
[1] Nello Cristianini,et al. Kernel Methods for Pattern Analysis , 2003, ICTAI.
[2] Kalyanmoy Deb,et al. Integrating User Preferences into Evolutionary Multi-Objective Optimization , 2005 .
[3] Paul Slovic,et al. Comparison of Bayesian and Regression Approaches to the Study of Information Processing in Judgment. , 1971 .
[4] Xin Yao,et al. Performance Scaling of Multi-objective Evolutionary Algorithms , 2003, EMO.
[5] W. Heisenberg. Über den anschaulichen Inhalt der quantentheoretischen Kinematik und Mechanik , 1927 .
[6] Marco Laumanns,et al. Running time analysis of multiobjective evolutionary algorithms on pseudo-Boolean functions , 2004, IEEE Transactions on Evolutionary Computation.
[7] Nicola Beume,et al. Pareto-, Aggregation-, and Indicator-Based Methods in Many-Objective Optimization , 2007, EMO.
[8] Kalyanmoy Deb,et al. An Interactive Evolutionary Multiobjective Optimization Method Based on Progressively Approximated Value Functions , 2010, IEEE Transactions on Evolutionary Computation.
[9] David W. Corne,et al. Quantifying the Effects of Objective Space Dimension in Evolutionary Multiobjective Optimization , 2007, EMO.
[10] Kalyanmoy Deb,et al. Reference point based multi-objective optimization using evolutionary algorithms , 2006, GECCO.
[11] L. J. P. van der Maaten,et al. An Introduction to Dimensionality Reduction Using Matlab , 2007 .
[12] Marco Laumanns,et al. Combining Convergence and Diversity in Evolutionary Multiobjective Optimization , 2002, Evolutionary Computation.
[13] Timothy D. Wilson,et al. Telling more than we can know: Verbal reports on mental processes. , 1977 .
[14] M. Peruggia. Experiments with Mixtures: Designs, Models, and the Analysis of Mixture Data , 2003 .
[15] Carlos A. Coello Coello,et al. Objective reduction using a feature selection technique , 2008, GECCO '08.
[16] Hisao Ishibuchi,et al. Evolutionary many-objective optimization: A short review , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[17] Dimo Brockhoff,et al. Many objective optimization and hypervolume based search , 2009 .
[18] Evan J. Hughes,et al. MSOPS-II: A general-purpose Many-Objective optimiser , 2007, 2007 IEEE Congress on Evolutionary Computation.
[19] ZitzlerEckart,et al. Objective reduction in evolutionary multiobjective optimization , 2009 .
[20] LiHong,et al. MOEA/D + uniform design , 2013 .
[21] Marc Roubens,et al. Multiple criteria decision making , 1994 .
[22] Andrzej P. Wierzbicki,et al. The Need for and Possible Methods of Objective Ranking , 2010, Trends in Multiple Criteria Decision Analysis.
[23] H. Hotelling. Analysis of a complex of statistical variables into principal components. , 1933 .
[24] J. Croft. Conflict , 2007, The Evolution of Social Behaviour.
[25] G. A. Miller. THE PSYCHOLOGICAL REVIEW THE MAGICAL NUMBER SEVEN, PLUS OR MINUS TWO: SOME LIMITS ON OUR CAPACITY FOR PROCESSING INFORMATION 1 , 1956 .
[26] J. Branke,et al. Guidance in evolutionary multi-objective optimization , 2001 .
[27] Jonathon Shlens,et al. A Tutorial on Principal Component Analysis , 2014, ArXiv.
[28] Michael Pidd,et al. Platform for Change , 1976 .
[29] Evan J. Hughes,et al. Evolutionary many-objective optimisation: many once or one many? , 2005, 2005 IEEE Congress on Evolutionary Computation.
[30] Evan J. Hughes,et al. Radar Waveform Optimisation as a Many-Objective Application Benchmark , 2007, EMO.
[31] Kalyanmoy Deb,et al. Progressively interactive evolutionary multi-objective optimization method using generalized polynomial value functions , 2010, IEEE Congress on Evolutionary Computation.
[32] Kiyoshi Tanaka,et al. Working principles, behavior, and performance of MOEAs on MNK-landscapes , 2007, Eur. J. Oper. Res..
[33] Marco Farina,et al. A fuzzy definition of "optimality" for many-criteria optimization problems , 2004, IEEE Trans. Syst. Man Cybern. Part A.
[34] Eckart Zitzler,et al. Are All Objectives Necessary? On Dimensionality Reduction in Evolutionary Multiobjective Optimization , 2006, PPSN.
[35] Hong Li,et al. MOEA/D + uniform design: A new version of MOEA/D for optimization problems with many objectives , 2013, Comput. Oper. Res..
[36] Eckart Zitzler,et al. Objective Reduction in Evolutionary Multiobjective Optimization: Theory and Applications , 2009, Evolutionary Computation.
[37] Kalyanmoy Deb,et al. On Handling a Large Number of Objectives A Posteriori and During Optimization , 2008, Multiobjective Problem Solving from Nature.
[38] Stephen P. Boyd,et al. Semidefinite Programming , 1996, SIAM Rev..
[39] Karl Pearson F.R.S.. LIII. On lines and planes of closest fit to systems of points in space , 1901 .
[40] Sebahattin Bektaand Yaseminiman. The comparison of L 1 and L 2 -norm minimization methods , 2010 .
[41] Kalyanmoy Deb,et al. Non-linear Dimensionality Reduction Procedures for Certain Large-Dimensional Multi-objective Optimization Problems: Employing Correntropy and a Novel Maximum Variance Unfolding , 2007, EMO.
[42] Nicola Beume,et al. S-Metric Calculation by Considering Dominated Hypervolume as Klee's Measure Problem , 2009, Evolutionary Computation.
[43] Kilian Q. Weinberger,et al. Unsupervised Learning of Image Manifolds by Semidefinite Programming , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[44] ZhangQingfu,et al. Objective Reduction in Many-Objective Optimization , 2013 .
[45] Tapabrata Ray,et al. A Pareto Corner Search Evolutionary Algorithm and Dimensionality Reduction in Many-Objective Optimization Problems , 2011, IEEE Transactions on Evolutionary Computation.
[46] Qingfu Zhang,et al. Objective Reduction in Many-Objective Optimization: Linear and Nonlinear Algorithms , 2013, IEEE Transactions on Evolutionary Computation.
[47] Eckart Zitzler,et al. Indicator-Based Selection in Multiobjective Search , 2004, PPSN.
[48] Kalyanmoy Deb,et al. Evaluating the -Domination Based Multi-Objective Evolutionary Algorithm for a Quick Computation of Pareto-Optimal Solutions , 2005, Evolutionary Computation.
[49] Stafford Beer,et al. Platform for Change , 1995 .
[50] Carlos M. Fonseca,et al. An Improved Dimension-Sweep Algorithm for the Hypervolume Indicator , 2006, 2006 IEEE International Conference on Evolutionary Computation.
[51] Jos F. Sturm,et al. A Matlab toolbox for optimization over symmetric cones , 1999 .
[52] Marco Laumanns,et al. Scalable Test Problems for Evolutionary Multiobjective Optimization , 2005, Evolutionary Multiobjective Optimization.
[53] Kalyanmoy Deb,et al. Light beam search based multi-objective optimization using evolutionary algorithms , 2007, 2007 IEEE Congress on Evolutionary Computation.
[54] Maurice d' Ocagne. Coordonnées parallèles et axiales Méthode de Transformation géométrique et Procédé nouveau de Calcul graphique, déduits de la Considération des Coordonnées parallèles , 1885, Nature.
[55] Peter J. Fleming,et al. Conflict, Harmony, and Independence: Relationships in Evolutionary Multi-criterion Optimisation , 2003, EMO.
[56] P. L. Yu,et al. Habitual Domains , 1991, Operational Research.
[57] Kalyanmoy Deb,et al. Interactive evolutionary multi-objective optimization and decision-making using reference direction method , 2007, GECCO '07.
[58] Qingfu Zhang,et al. MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition , 2007, IEEE Transactions on Evolutionary Computation.
[59] Hisao Ishibuchi,et al. Effects of the Existence of Highly Correlated Objectives on the Behavior of MOEA/D , 2011, EMO.
[60] B. Borchers. CSDP, A C library for semidefinite programming , 1999 .
[61] R. Lyndon While,et al. A faster algorithm for calculating hypervolume , 2006, IEEE Transactions on Evolutionary Computation.