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Evolution of a vision system by genetic algorithm

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Abstract

This paper proposes a framework for a genetic algorithm applied to determine and construct an organ, especially the neural network of a virtual creature. The vision system of the creature is a result of genetic evolution, and we are trying to realize this on the computer. We examine how the visual organ of the animal is evolved under a special environment (e.g., the specialized visual organ of an animal to catch a moving insect), and how many variations of neural networks exist. We also think it is possible to generalize the method to an automatic generation of various kinds of visual recognition system by adding various kinds of evolution any directions.

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Author information

Authors and Affiliations

  1. Fukui University, 3-9-1 Bunkyo, 910-8507, Fukui, Japan

    Wen Nian & Kozo Okazaki

  2. Osaka University, D11, 2-2 Yamadaoka, 565-0871, Suita, Osaka, Japan

    Shinichi Tamura

Authors
  1. Wen Nian
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  2. Kozo Okazaki
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  3. Shinichi Tamura
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Corresponding author

Correspondence to Wen Nian.

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Cite this article

Nian, W., Okazaki, K. & Tamura, S. Evolution of a vision system by genetic algorithm. Artificial Life and Robotics 2, 179–183 (1998). https://doi.org/10.1007/BF02471178

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  • DOI: https://doi.org/10.1007/BF02471178

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