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

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

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)937-947
Number of pages11
JournalTransactions of the Canadian Society for Mechanical Engineering
Volume37
Issue number3
DOIs
StatePublished - 1 Dec 2013

Keywords

  • Elevator group control system
  • Fuzzy rule
  • Genetic algorithm

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