Ga based hybrid fuzzy rule optimization approach for elevator group control system

Ta Cheng Chen, Yuan Yong Hsu, An-Chen Lee, Shiang Yu Wang

研究成果: Article

1 引文 斯高帕斯(Scopus)

摘要

Elevators are the essential transportation tools in high buildings so that elevator group control system (EGCS) is developed to dynamically layout the schedule of elevators in a group. In this study, a fuzzy rule based intelligent EGCS optimized by genetic algorithm has been proposed where the rules with the corresponding parameters are generated optimally so as to maximize service quality. The experimental results show that the performance of our approach is superior to these of traditional approaches in the literature.

原文English
頁(從 - 到)937-947
頁數11
期刊Transactions of the Canadian Society for Mechanical Engineering
37
發行號3
DOIs
出版狀態Published - 1 十二月 2013

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