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.
|Number of pages||11|
|Journal||Transactions of the Canadian Society for Mechanical Engineering|
|State||Published - 1 Dec 2013|
- Elevator group control system
- Fuzzy rule
- Genetic algorithm