Evolution of Biological Eye in Computer Simulation

Neil Vaughan

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    This research demonstrates an evolutionary process of a biological eye in a computer model. This demonstrates using a model, how the biological eye could have evolved, starting from a sheet of light sensitive cells towards a concave pinhole camera eye without a lens. The advantages of each iterative improvement lead to increased chance of being selected for subsequent generations because improved eye clarity helps animals to detect prey or predators. The fitness of the evolving eyes are evaluated on a range of 5 varied datasets with a range of classification algorithm tasks. The developed simulated eye model demonstrates that the requirement to detect the direction of an approaching predator does produce a gradual evolutionary transition from a flat light sensitive surface to the pinhole camera eye which models how eyes evolved in biological creatures.
    Original languageEnglish
    Title of host publication2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings
    PublisherIEEE
    ISBN (Print)9781728121529
    DOIs
    Publication statusPublished - 8 Aug 2019
    Event 2019 IEEE Congress on Evolutionary Computation (CEC) - Wellington, New Zealand
    Duration: 10 Jun 201913 Jun 2019

    Conference

    Conference 2019 IEEE Congress on Evolutionary Computation (CEC)
    CountryNew Zealand
    CityWellington
    Period10/06/1913/06/19

    Fingerprint Dive into the research topics of 'Evolution of Biological Eye in Computer Simulation'. Together they form a unique fingerprint.

  • Cite this

    Vaughan, N. (2019). Evolution of Biological Eye in Computer Simulation. In 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings IEEE. https://doi.org/10.1109/CEC.2019.8790284