Evolution of Biological Eye in Computer Simulation

被引:0
作者
Vaughan, Neil [1 ]
机构
[1] Univ Chester, Dept Comp Sci, Digital Biol Res Grp, Chester, Cheshire, England
来源
2019 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) | 2019年
关键词
eye; evolution; vision; simulated;
D O I
10.1109/cec.2019.8790284
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:2537 / 2543
页数:7
相关论文
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