Visualization in multiobjective optimization
暂无分享,去创建一个
[1] Tea Tusar,et al. A taxonomy of methods for visualizing pareto front approximations , 2018, GECCO.
[2] Christina Bloebaum,et al. Hyper-Radial Visualization (HRV) method with range-based preferences for multi-objective decision making , 2009 .
[3] J W Wallis,et al. Three-dimensional display in nuclear medicine. , 1989, IEEE transactions on medical imaging.
[4] Gary G. Yen,et al. Visualization and Performance Metric in Many-Objective Optimization , 2016, IEEE Transactions on Evolutionary Computation.
[5] Tea Tusar,et al. Visualization of Pareto Front Approximations in Evolutionary Multiobjective Optimization: A Critical Review and the Prosection Method , 2015, IEEE Transactions on Evolutionary Computation.
[6] Jonathan E. Fieldsend,et al. Visualising High-Dimensional Pareto Relationships in Two-Dimensional Scatterplots , 2013, EMO.
[7] John W. Sammon,et al. A Nonlinear Mapping for Data Structure Analysis , 1969, IEEE Transactions on Computers.
[8] Xavier Blasco Ferragud,et al. Asymmetric distances to improve n-dimensional Pareto fronts graphical analysis , 2016, Inf. Sci..
[9] Markus Hadwiger,et al. Real-time volume graphics , 2006, Eurographics.
[10] Timo Ropinski,et al. Voreen: A Rapid-Prototyping Environment for Ray-Casting-Based Volume Visualizations , 2009, IEEE Computer Graphics and Applications.
[11] Shahryar Rahnamayan,et al. 3D-RadVis: Visualization of Pareto front in many-objective optimization , 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).
[12] J. Tenenbaum,et al. A global geometric framework for nonlinear dimensionality reduction. , 2000, Science.
[13] Dario Landa Silva,et al. Analysis of Objectives Relationships in Multiobjective Problems Using Trade-Off Region Maps , 2015, GECCO.
[14] Carlos M. Fonseca,et al. Computing Hypervolume Contributions in Low Dimensions: Asymptotically Optimal Algorithm and Complexity Results , 2011, EMO.
[15] Pascal Kerschke,et al. An Expedition to Multimodal Multi-objective Optimization Landscapes , 2017, EMO.
[16] Xavier Blasco Ferragud,et al. A new graphical visualization of n-dimensional Pareto front for decision-making in multiobjective optimization , 2008, Inf. Sci..
[17] Michael E. Tipping,et al. Feed-forward neural networks and topographic mappings for exploratory data analysis , 1996, Neural Computing & Applications.
[18] David P. Pancho,et al. moGrams: A Network-Based Methodology for Visualizing the Set of Nondominated Solutions in Multiobjective Optimization , 2015, IEEE Transactions on Cybernetics.
[19] Anne Auger,et al. Using Well-Understood Single-Objective Functions in Multiobjective Black-Box Optimization Test Suites , 2019, Evolutionary Computation.
[20] Alfred Inselberg,et al. Parallel Coordinates: Visual Multidimensional Geometry and Its Applications , 2003, KDIR.
[21] Joshua D. Knowles. A summary-attainment-surface plotting method for visualizing the performance of stochastic multiobjective optimizers , 2005, 5th International Conference on Intelligent Systems Design and Applications (ISDA'05).
[22] Thomas Stützle,et al. Exploratory Analysis of Stochastic Local Search Algorithms in Biobjective Optimization , 2010, Experimental Methods for the Analysis of Optimization Algorithms.
[23] Carlos M. Fonseca,et al. Inferential Performance Assessment of Stochastic Optimisers and the Attainment Function , 2001, EMO.
[24] Jonathan E. Fieldsend,et al. Multi-class ROC analysis from a multi-objective optimisation perspective , 2006, Pattern Recognit. Lett..
[25] Jonathan E. Fieldsend,et al. Visualizing Mutually Nondominating Solution Sets in Many-Objective Optimization , 2013, IEEE Transactions on Evolutionary Computation.
[26] Thomas Bartz-Beielstein,et al. Experimental Methods for the Analysis of Optimization Algorithms , 2010 .
[27] Georges G. Grinstein,et al. DNA visual and analytic data mining , 1997, Proceedings. Visualization '97 (Cat. No. 97CB36155).
[28] Daisuke Sasaki,et al. Visualization and Data Mining of Pareto Solutions Using Self-Organizing Map , 2003, EMO.
[29] Teuvo Kohonen,et al. Self-Organizing Maps, Third Edition , 2001, Springer Series in Information Sciences.
[30] Carlos M. Fonseca,et al. Greedy Hypervolume Subset Selection in Low Dimensions , 2016, Evolutionary Computation.
[31] Furuhashi Takeshi,et al. Study on effect of MOGA with interactive island model using visualization , 2010, IEEE Congress on Evolutionary Computation.
[32] Julio J. Valdés,et al. Visualizing high dimensional objective spaces for multi-objective optimization: A virtual reality approach , 2007, 2007 IEEE Congress on Evolutionary Computation.
[33] Kiam Heong Ang,et al. VISUALIZATION TECHNIQUE FOR ANALYZING NON-DOMINATED SET COMPARISON , 2003 .
[34] Frederico G. Guimarães,et al. Aggregation Trees for visualization and dimension reduction in many-objective optimization , 2015, Inf. Sci..
[35] Frederico G. Guimarães,et al. A new visualization method in many-objective optimization with chord diagram and angular mapping , 2017, Knowl. Based Syst..
[36] Günter Rudolph,et al. Understanding Complexity in Multiobjective Optimization (Dagstuhl Seminar 15031) , 2015, Dagstuhl Reports.
[37] Anne Auger,et al. Quantitative Performance Assessment of Multiobjective Optimizers: The Average Runtime Attainment Function , 2017, EMO.
[38] Peter J. Fleming,et al. On the Performance Assessment and Comparison of Stochastic Multiobjective Optimizers , 1996, PPSN.
[39] Rajendra Akerkar,et al. Knowledge Based Systems , 2017, Encyclopedia of GIS.
[40] Bogdan Filipič,et al. Visualizing Exact and Approximated 3D Empirical Attainment Functions , 2014 .
[41] Kemper Lewis,et al. Intuitive Design Selection using Visualized n-Dimensional Pareto Frontier , 2005 .
[42] Bo Li,et al. The Visualization Decision-making Model of Four Objectives Based on the Balance of Space Vector , 2012, 2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics.
[43] Mario Köppen,et al. Visualization of Pareto-Sets in Evolutionary Multi-Objective Optimization , 2007, 7th International Conference on Hybrid Intelligent Systems (HIS 2007).
[44] David J. Walker,et al. Visualising Multi-objective Populations with Treemaps , 2015, GECCO.
[45] Jonathan E. Fieldsend,et al. Visualisation and ordering of many-objective populations , 2010, IEEE Congress on Evolutionary Computation.
[46] Alexander V. Lotov,et al. Interactive Decision Maps: Approximation and Visualization of Pareto Frontier , 2004 .
[47] George I. N. Rozvany,et al. Structural and Multidisciplinary Optimization , 1995 .
[48] Tomohiro Yoshikawa,et al. Knowledge extraction in multi-objective optimization problem based on visualization of Pareto solutions , 2012, 2012 IEEE Congress on Evolutionary Computation.
[49] Kaisa Miettinen,et al. Survey of methods to visualize alternatives in multiple criteria decision making problems , 2012, OR Spectrum.
[50] Carlos M. Fonseca,et al. Multiobjective genetic algorithms with application to control engineering problems. , 1995 .