An analysis of dimensionality reduction techniques for visualizing evolution
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Eric Medvet | Alberto Bartoli | Andrea De Lorenzo | Tea Tusar | Alberto Bartoli | Eric Medvet | A. D. Lorenzo | Tea Tušar
[1] Penousal Machado,et al. ELICIT: Evolutionary Computation Visualization , 2015, GECCO.
[2] Eric O. Postma,et al. Dimensionality Reduction: A Comparative Review , 2008 .
[3] Jean-Daniel Fekete,et al. Visual Analysis of Population Scatterplots , 2011, Artificial Evolution.
[4] Leland McInnes,et al. UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction , 2018, ArXiv.
[5] Lee Spector,et al. Visualizing Genetic Programming Ancestries , 2016, GECCO.
[6] Marjan Mernik,et al. Exploration and exploitation in evolutionary algorithms: A survey , 2013, CSUR.
[7] Yong-Hyuk Kim,et al. Visualizing the search process of particle swarm optimization , 2009, GECCO.
[8] W. B. Shine,et al. Visualizing the evolution of genetic algorithm search processes , 1997, Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97).
[9] Michael C. Hout,et al. Multidimensional Scaling , 2003, Encyclopedic Dictionary of Archaeology.
[10] Stephan M. Winkler,et al. Visualization of genetic lineages and inheritance information in genetic programming , 2013, GECCO.
[11] Heinz Mühlenbein,et al. Predictive Models for the Breeder Genetic Algorithm I. Continuous Parameter Optimization , 1993, Evolutionary Computation.
[12] Peter Ross,et al. GAVEL - a new tool for genetic algorithm visualization , 2001, IEEE Trans. Evol. Comput..
[13] Achim Rettinger,et al. Intelligent exploration for genetic algorithms: using self-organizing maps in evolutionary computation , 2008, GECCO '05.
[14] Anastasia Bezerianos,et al. Evolutionary visual exploration: experimental analysis of algorithm behaviour , 2013, GECCO.
[15] Hartmut Pohlheim,et al. Understanding the Course and State of Evolutionary Optimizations Using Visualization: Ten Years of Industry Experience with Evolutionary Algorithms , 2006, Artificial Life.
[16] Andreas Kerren,et al. EAVis: a visualization tool for evolutionary algorithms , 2005, 2005 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC'05).
[17] Eric Medvet,et al. Observing the Population Dynamics in GE by means of the Intrinsic Dimension , 2018, ArXiv.
[18] Geoffrey E. Hinton,et al. Visualizing Data using t-SNE , 2008 .
[19] Eric Medvet,et al. Unveiling evolutionary algorithm representation with DU maps , 2018, Genetic Programming and Evolvable Machines.
[20] J. Tenenbaum,et al. A global geometric framework for nonlinear dimensionality reduction. , 2000, Science.
[21] Christian Jacob,et al. VISPLORE: a toolkit to explore particle swarms by visual inspection , 2009, GECCO '09.
[22] Giovanni Squillero,et al. Divergence of character and premature convergence: A survey of methodologies for promoting diversity in evolutionary optimization , 2016, Inf. Sci..
[23] Trevor Collins,et al. Applying software visualization technology to support the use of evolutionary algorithms , 2003, J. Vis. Lang. Comput..
[24] Jan Drchal,et al. Diversity visualization in evolutionary algorithms , 2007 .
[25] Krzysztof Michalak. Low-Dimensional Euclidean Embedding for Visualization of Search Spaces in Combinatorial Optimization , 2019, IEEE Transactions on Evolutionary Computation.
[26] Zoltán Tóth,et al. A Graphical User Interface for Evolutionary Algorithms , 2003, Acta Cybern..
[27] Hartmut Pohlheim,et al. Multidimensional Scaling for Evolutionary Algorithms Visualization of the Path through Search Space and Solution Space Using Sammon Mapping , 2006, Artificial Life.
[28] Alcherio Martinoli,et al. SwarmViz: An open-source visualization tool for Particle Swarm Optimization , 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).
[29] Trevor D. Collins,et al. Visualization of Binary String Convergence by Sammon Mapping , 1996, Evolutionary Programming.
[30] H. Hotelling. Analysis of a complex of statistical variables into principal components. , 1933 .
[31] W. Torgerson. Multidimensional scaling: I. Theory and method , 1952 .
[32] John W. Sammon,et al. A Nonlinear Mapping for Data Structure Analysis , 1969, IEEE Transactions on Computers.