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evoVision3D: A Multiscale Visualization of Evolutionary Histories

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Parallel Problem Solving from Nature – PPSN XIV (PPSN 2016)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9921))

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Abstract

Evolutionary computation is a field defined by large data sets and complex relationships. Because of this complexity it can be difficult to identify trends and patterns that can help improve future projects and drive experimentation. To address this we present evoVision3D, a multiscale 3D system designed to take data sets from evolutionary design experiments and visualize them in order to assist in their inspection and analysis. Our system is implemented in the Unity 3D game development environment, for which we show that it lends itself to immersive navigation through large data sets, going even beyond evolution-based search and interactive data exploration.

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References

  1. Apache subversion; enterprise-class centralized version control for the masses. https://subversion.apache.org/

  2. git -local-branching-on-the-cheap. https://git-scm.com/

  3. Oculus. https://www.oculus.com/en-us/

  4. Unity 3d game engine. https://unity3d.com/

  5. Stolte, C., Tang, D., Hanrahan, P.: Multiscale visualization using data cubes. IEEE Trans. Vis. Comput. Graph. 9(2), 176–187 (2003)

    Article  Google Scholar 

  6. Coello, C.A.C., Van Veldhuizen, D.A., Lamont, G.B.: Evolutionary algorithms for solving multi-objective problems, vol. 242. Springer, New York (2002)

    Book  MATH  Google Scholar 

  7. Daida, J.M., Hilss, A.M., Ward, D.J., Long, S.L.: Visualizing tree structures in genetic programming. Genet. Programm. Evolvable Mach. 6(1), 79–110 (2005)

    Article  MATH  Google Scholar 

  8. Davison, T., von Mammen, S., Jacob, C.: EvoShelf: a system for managing and exploring evolutionary data. In: Schaefer, R., Cotta, C., Kołodziej, J., Rudolph, G. (eds.) PPSN XI. LNCS, vol. 6239, pp. 310–319. Springer, Heidelberg (2010)

    Google Scholar 

  9. Etemad, K., Carpendale, S., Samavati, F.: Node-ring graph visualization clears edge congestion. In: Proceedings of the IEEE VIS Arts Program (VISAP), pp. 67–74

    Google Scholar 

  10. Kelly, J., Jacob, C.: evoVersion: visualizing evolutionary histories. In: IEEE Congress on Evolutionary Computation, CEC 2016. IEEE (2016) (in print)

    Google Scholar 

  11. Koçer, B., Arslan, A.: Transfer Learning in Genetic Algorithms (2012)

    Google Scholar 

  12. Koza, J.R.: Genetic Programming: On The Programming of Computers by Means of Natural Selection, vol. 1. MIT Press, Cambridge (1992)

    MATH  Google Scholar 

  13. Lutton, E., Fekete, J.D.: Visual analytics of EA data. In: Proceedings of the 13th Annual Conference on Genetic And Evolutionary Computation - GECCO 2011, pp. 145–146 (2011)

    Google Scholar 

  14. Miller, R., Mozhayskiy, V., Tagkopoulos, L., Ma, K.L.: EVEVis: a multi-scale visualization system for dense evolutionary data. In: 2011 IEEE Symposium on Biological Data Visualization (BioVis), pp. 143–150 (2011)

    Google Scholar 

  15. Shepherd, J.J., Zhou, L., Zhang, Y., Zheng, J., Tang, J.: Exploring genomes with a game engine. In: Proceedings - 2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013, vol. 169(207890), pp. 26–30 (2013)

    Google Scholar 

  16. Yang, Z., Tang, K., Yao, X.: Large scale evolutionary optimization using cooperative coevolution. Inf. Sci. 178(15), 2985–2999 (2008)

    Article  MathSciNet  MATH  Google Scholar 

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Correspondence to Justin J. Kelly or Christian Jacob .

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Kelly, J.J., Jacob, C. (2016). evoVision3D: A Multiscale Visualization of Evolutionary Histories. In: Handl, J., Hart, E., Lewis, P., López-Ibáñez, M., Ochoa, G., Paechter, B. (eds) Parallel Problem Solving from Nature – PPSN XIV. PPSN 2016. Lecture Notes in Computer Science(), vol 9921. Springer, Cham. https://doi.org/10.1007/978-3-319-45823-6_88

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  • DOI: https://doi.org/10.1007/978-3-319-45823-6_88

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45822-9

  • Online ISBN: 978-3-319-45823-6

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