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.
|Title of host publication||2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings|
|Publication status||Published - 8 Aug 2019|
|Event|| 2019 IEEE Congress on Evolutionary Computation (CEC) - Wellington, New Zealand|
Duration: 10 Jun 2019 → 13 Jun 2019
|Conference||2019 IEEE Congress on Evolutionary Computation (CEC)|
|Period||10/06/19 → 13/06/19|