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

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

*此作品的通信作者

研究成果: Conference contribution同行評審

2 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 rules based intelligent elevator group control system has been proposed in which the structure of rules including the related parameters are generated optimally based on the traffic data so as to maximize service quality. In literature, the fuzzy related approaches have been applied in EGCS but the fuzzy rules were all pre-defined. However, how to create the most suitable fuzzy rule set in EGCS for dispatching elevators more efficiently and economically are never discussed in literature. The aim of the proposed approach is to minimize the average waiting time at peak hours as well as to minimize the power energy at off-peak hours by using the proposed fuzzy rule based ECGS. Moreover, there are many decision variables are considered in the GCGS to provide the most appropriate elevator assignment whenever any hall call is given. In this study, a fuzzy rule based elevator-dispatching approach has been proposed for the EGCS in which the fuzzy rules and related parameters are derived optimally by using genetic algorithm based on the historical elevator transportation data. The experimental results show that the performance of the proposed approach is superior to these of traditional approaches in literatures.

原文English
主出版物標題Innovation for Applied Science and Technology
頁面2380-2384
頁數5
DOIs
出版狀態Published - 2013
事件2nd International Conference on Engineering and Technology Innovation 2012, ICETI 2012 - Kaohsiung, Taiwan
持續時間: 2 11月 20126 11月 2012

出版系列

名字Applied Mechanics and Materials
284-287
ISSN(列印)1660-9336
ISSN(電子)1662-7482

Conference

Conference2nd International Conference on Engineering and Technology Innovation 2012, ICETI 2012
國家/地區Taiwan
城市Kaohsiung
期間2/11/126/11/12

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