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A parameter tuning method for an elevator group control system using a genetic algorithm

✍ Scribed by Toshimitsu Tobita; Atsuya Fujino; Kazuhiro Segawa; Kenji Yoneda; Yoshiaki Ichikawa

Publisher
John Wiley and Sons
Year
1998
Tongue
English
Weight
204 KB
Volume
124
Category
Article
ISSN
0424-7760

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✦ Synopsis

This paper describes a new parameter tuning method for an elevator group control system. In such a system, tuning parameters describing elevator use and the building environment are important. The new tuning method uses improved genetic algorithms to follow environment changes and to give robustness. Keeping diversity is important in following environment changes. The paper also describes the addition of the random chromosome method and addition of other estimation methods to maintain diversity. Their effects are shown by simulations.

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