The Optimization of Knowledgebase for Swimming Pool Temperature Control Systems using Genetic Algorithms


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 1, No. 3, pp. 319-326, Sep. 1994
10.3745/KIPSTE.1994.1.3.319,   PDF Download:

Abstract

Automatic control has been for the most part applied to linear systems where it can be approximately formalized. In case that it is not definitely established the mathematical modelling to control objects, it requires manual control strategies which put under the human rule. In this paper, it constructs an FLC(Fuzzy Logic Controller) in order to turn a hand control into an automatic control in the domain of swimmin pool that has been almost absolutely dependant on a skilled worker's experience. Genetic algorithms upgrade the knowledhs which is acuired from human expert, using by FLC, so as to maintain knowledge in the very optimal way. It also designs an algorithm that modifies the rule base and the membership function at the same time, and ultimately will show that it can get better result than human controllers.


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Cite this article
[IEEE Style]
K. S. Hark, "The Optimization of Knowledgebase for Swimming Pool Temperature Control Systems using Genetic Algorithms," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 1, no. 3, pp. 319-326, 1994. DOI: 10.3745/KIPSTE.1994.1.3.319.

[ACM Style]
Kim Sung Hark. 1994. The Optimization of Knowledgebase for Swimming Pool Temperature Control Systems using Genetic Algorithms. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 1, 3, (1994), 319-326. DOI: 10.3745/KIPSTE.1994.1.3.319.