Logistic Chaos Protects Evolution against Environment Noise
Masao Kubo, Akihiro Yamaguchi, Sadayoshi Mikami and Mitsuo Wada
Chaotic Engineering, Complex Systems Engineering Laboratry, Faculty of Eng., Hokkaido University, N-13, W-8, Sapporo 060-8628, Japan
We propose a neuron with noise generator specially for the evolutionary robotics approach to incremental knowledge acquisition. Genetically evolving neural networks are modified continuously by genetic operations. Difficulty in incrementing knowledge when a neural network acts as a robotic controller arises when network operates unlike in the past due to disturbance by neurons added by genetic operators. To evolve a network robust against such internal noise, we propose adding noise generators to neurons. We show the effectiveness of the application of a logistic chaos noise generator to neurons by comparing several noise generators.