Abstract
The authors have proposed a new coding method based on biological DNA and a mechanism of development from the artificial DNA[1][2]. We call this coding method “DNA coding method”. This method has redundancy and overlapping of genes. Selection of input variables and tuning of membership functions are done. This paper combines this method with the Pseudo-Bacterial Genetic Algorithm (PBGA)[3][4].. The PBGA utilizes mechanisms of genetic recombination in bacterial genetics. This algorithm is efficient in improving local portions of chromosomes. This paper applies this combined method to knowledge acquisition of fuzzy control rules, and studies how genes evolve by the bacterial operation. This combined method accelerates the knowledge discovery process. Effective fuzzy rules for mobile robots are acquired through chasing and avoiding operations.
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References
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© 1997 Springer-Verlag Berlin Heidelberg
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Yoshikawa, T., Furuhashi, T., Uchikawa, Y. (1997). Knowledge acquisition of fuzzy control rules for mobile robots using DNA coding method and pseudo-bacterial GA. In: Yao, X., Kim, JH., Furuhashi, T. (eds) Simulated Evolution and Learning. SEAL 1996. Lecture Notes in Computer Science, vol 1285. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0028529
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DOI: https://doi.org/10.1007/BFb0028529
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