Autonomous Guided Vehicle Control Using SOC Genetic Algorithm


Bong-Seok Jang, Sang-Hyun Bae, Heon Jung, Journal of Information Processing Systems Vol. 2, No. 2, pp. 105-116, Jun. 2001  


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Abstract

According to increase of the factory-automation's(FA) in the field of production, the autonomous guided vehicle's(AGV) role is also increased, The study about an active and effective controller which can flexibly prepare for the changeable circumstance is in progressed. For this study. the research about ac1ion base system to evolve by itself is also being actively considered In this paper. we composed an ac1ive and effective AGV fuzzy controller to be able to do self-organization, For composing it. we tuned suboptimally membership function using genetic algorithm(GA) and improved the control efficiency by the self-correction and generating the control rules. self-organizing controlled(SOC) fuzzy controller proposed in this paper is capable of Self-organizing by using the characteristics of fuzzy controller and genetic algorithm. It intuitionally controls AGV and easily adapts to the circumstance.


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Cite this article
[APA Style]
Jang, B., Bae, S., & Jung, H. (2001). Autonomous Guided Vehicle Control Using SOC Genetic Algorithm. Journal of Internet Computing and Services, 2(2), 105-116.

[IEEE Style]
B. Jang, S. Bae, H. Jung, "Autonomous Guided Vehicle Control Using SOC Genetic Algorithm," Journal of Internet Computing and Services, vol. 2, no. 2, pp. 105-116, 2001.

[ACM Style]
Bong-Seok Jang, Sang-Hyun Bae, and Heon Jung. 2001. Autonomous Guided Vehicle Control Using SOC Genetic Algorithm. Journal of Internet Computing and Services, 2, 2, (2001), 105-116.