Visualisation in Evolutionary Optimisation - Bibliography

This page contains a bibliography of papers relating in some way to visualisation within evolutionary computation. It is currently a work in progress - please feel free to suggest papers for inclusion by email.
Papers are listed alphabetically by lead author.

A

  • Ashlock, D. and Kim, E.-Y., "Fingerprinting: Visualization and Automatic Analysis of Prisoner's Dilemma Strategies". IEEE Transactions on Evolutionary Computation, 12(5):647-659, 2008.
  • Ashlock, D. and Lee, C., "Agent-Case Embeddings for the Analysis of Evolved Systems". IEEE Transactions on Evolutionary Computation, 17(2):227-240, 2013.
  • Ashlock, D. and McEachern, A., "Evolutionary Nonlinear Projection". IEEE Transactions on Evolutionary Computation, 19(6):857-869, 2015.

B

  • Bhattacharjee, K. S., Singh, H. K., Ryan, M. and Ray, T., "Bridging the Gap: Many-Objective Optimization and Informed Decision-Making". IEEE Transactions on Evolutionary Computation, 21(5):813-820, 2017.
  • Burlacu, B., Affenzeller, M., Kommenda, M., Winkler, S. and Kronberger, G. "Visualization of Genetic Lineages and Inheritance Information in Genetic Programming". Proceedings of VizGEC 2013 (held at the Genetic and Evolutionary Computation Conference), 2013.

C

  • Cancino, W., Boukhelifa, Bezerianos, A. and Lutton, E. "Evolutionary Visual Exploration: Experimental Analysis of Algorithm Behaviour". Proceedings of VizGEC 2013 (held at the Genetic and Evolutionary Computation Conference), 2013.
  • Craven, M. J. and Jimbo, H. C. "EA Stability: Perturbations, Metrics and Performance". Proceedings of VizGEC 2014 (held at the Genetic and Evolutionary Computation Conference), 2014.
  • Cruz, A. "ELICIT – EvoLutIonary Computation vIsualizaTionS". Proceedings of VizGEC 2015 (held at the Genetic and Evolutionary Computation Conference), 2015.
  • Chiu, W.-Y., Yen, G. G., and Juan, T.-K., "Minimum Manhattan Distance Approach to Multiple Criteria Decision Making in Multiobjective Optimization Problems". IEEE Transactions on Evolutionary Computation, 20(6):972-985, 2016.

F

  • Fernandes, C. M., Juan, A. M., Merelo, J., Fernandez, F. and A. Rosa. "Generating Colored 2-Dimensional Representations of Sleep EEG with the KANTS Clustering Algorithm". Proceedings of VizGEC 2012 (held at the Genetic and Evolutionary Computation Conference), 2012.
  • Frietas, A. R. R., Silva, R. Guimaraes, F. G. "On the Visualization of Trade-offs and Reducibility in Many-Objective Optimization". Proceedings of VizGEC 2014 (held at the Genetic and Evolutionary Computation Conference), 2014.

H

  • Hart, E. and Ross, P. "GAVEL - A New Tool for Genetic Algorithm Visualization". IEEE Transactions on Evolutionary Computation, 5(4):335-348, 2001.
  • He, Z. and Yen, G. G. "Visualization and Performance Metric in Many-Objective Optimization". IEEE Transactions on Evolutionary Computation, 20(3):386-402, 2016.
  • Keedwell, E., Johns, M., Savic, D. "Spatial and Temporal Visualisation of Evolutionary Algorithm Decisions in Water Distribution Network Optimisation", Proceedings of VizGEC 2015 (held at the Genetic and Evolutionary Computation Conference), 2015.

K

  • Y. Kobayashi, T. Okamoto and S. Koakutsu. "A Pareto optimal solution visualization method using SOM-NG with learning parameter optimization," Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 004525-004531, 2016.

L

  • Li, M., Grosan, C., Yang, S., Liu, X. and Yao, X. "Multi-Line Distance Minimization: A Visualized Many-Objective Test Problem Suite". IEEE Transactions on Evolutionary Computation, in press.
  • Liang, M. L., Han, H., Zhaoquan, C., Hui, H. "Using Particle Swarm Large-scale Optimization to Improve Color Sampling based Image". Proceedings of VizGEC 2015 (held at the Genetic and Evolutionary Computation Conference), 2015.
  • M. Lotif. "Visualizing the population of meta-heuristics during the optimization process using self-organizing maps," Proceedings of 2014 IEEE Congress on Evolutionary Computation (CEC), pp. 313-319, 2014.

M

  • McClymont, K. "Biaxial Box Plots and Ordered Trial Ranks for Visualizing Large Sets of Experimental Results". Proceedings of VizGEC 2012 (held at the Genetic and Evolutionary Computation Conference), 2012.
  • McFadzean, D., Stewart, D. and Tesfatsion, L., "A Computational Laboratory for Evolutionary Trade Networks". IEEE Transactions on Evolutionary Computation, 5(5):546-560, 2001.
  • Moshaiov, A. "Signaling and Visualization for Interactive Evolutionary Search and Selection of Conceptual Solutions". Proceedings of VizGEC 2013 (held at the Genetic and Evolutionary Computation Conference), 2013.
  • Pohlheim, H. "Visualization of Evolutionary Algorithms - Set of Standard Techniques and Multidimensional Visualization". Proceedings of Genetic and Evolutionary Computation Conference (GECCO 1999), pp533-540, 1999.

R

  • Raymer, M., Punch, W. F., Goodman, E. D., Kuhn, L. A. and Jain, A. K., "Dimensionality Reduction using Genetic Algorithms". IEEE Transactions on Evolutionary Computation, 4(2):164-171, 2000.

S

  • Sierra, A. and Echeverria, A., "Evolutionary Discriminant Analysis". IEEE Transactions on Evolutionary Computation, 10(1):81-92, 2006.

T

  • T. Taghavi and A. D. Pimentel. "VMODEX: A visualization tool for multi-objective Design Space Exploration," Proceedings of 2010 International Conference on Field-Programmable Technology, pp. 357-360, 2010.
  • Tusar, T. and Filipic, B. "An Approach to Visualizing the 3D Empirical Attainment Function". Proceedings of VizGEC 2013 (held at the Genetic and Evolutionary Computation Conference), 2013.
  • Tusar, T. and Filipic, B. "Initial Experiments in Visualization of Empirical Attainment Function Differences Using Maximum Intensity Projection". Proceedings of VizGEC 2014 (held at the Genetic and Evolutionary Computation Conference), 2014.
  • Tusar, T. and Filipic, B. "Visualization of Pareto Front Approximations in Evolutionary Multiobjective Optimization: A Critical Review and the Prosection Method". IEEE Transactions on Evolutionary Computation, 19(2):225-245, 2015

U

  • Urquhart, N. "Combining Parallel Coordinates with Multi-objective Evolutionary Algorithms in a Real-World Optimisation Problem", Proceedings of GECCO 2017, 2017.
  • Urquhart, N. "Evaluating the Performance of an Evolutionary Tool for Exploring Solution Fronts", Proceedings of EvoAPPLICATIONS 2018, pp523-537, 2018.

W

  • Walker, D. J. "Visualising Multi-objective Populations with Treemaps". Proceedings of VizGEC 2015 (held at the Genetic and Evolutionary Computation Conference), 2015.
  • Walker, D. J. and Craven, M. J. "Toward the Online Visualisation of Algorithm Performance for Parameter Selection", Proceedings of EvoAPPLICATIONS 2018, pp547-560, 2018.
  • Walker, D. J., Everson, R. M. and Fieldsend, J. E. "Visualising and Ordering Many-objective Populations", Proceedings of IEEE Congress on Evolutionary Computation, pp3664-3671.
  • Walker, D. J., Everson, R. M. and Fieldsend, J. E. "Visualising Many-objective Populations". Proceedings of VizGEC 2012 (held at the Genetic and Evolutionary Computation Conference), 2012.
  • Walker, D. J., Everson, R. M. and Fieldsend, J. E. "Visualising Mutually Non-dominating Solution Sets in Many-objective Optimisation", IEEE Transactions on Evolutionary Computation 17(2):165-184, 2013.

Y

  • D. Yamashiro, T. Yoshikawa and T. Furuhashi. "Efficiency of Search Performance through visualizing Search Process," Proceedings of 2006 IEEE International Conference on Systems, Man and Cybernetics, pp. 1114-1119, 2006.
  • Yuan, Y., Ong, Y.-S., Gupta, A. and Xu, H., "Objective Reduction in Many-Objective Optimization: Evolutionary Multiobjective Approaches and Comprehensive Analysis". IEEE Transactions on Evolutionary Computation, in press.

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