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A parameter tuning method for an elevator group control system using a genetic algorithm
Author(s) -
Tobita Toshimitsu,
Fujino Atsuya,
Segawa Kazuhiro,
Yoneda Kenji,
Ichikawa Yoshiaki
Publication year - 1998
Publication title -
electrical engineering in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.136
H-Index - 28
eISSN - 1520-6416
pISSN - 0424-7760
DOI - 10.1002/(sici)1520-6416(19980715)124:1<55::aid-eej7>3.0.co;2-j
Subject(s) - elevator , robustness (evolution) , genetic algorithm , control theory (sociology) , algorithm , computer science , group (periodic table) , control system , control engineering , engineering , control (management) , artificial intelligence , machine learning , biology , physics , biochemistry , electrical engineering , structural engineering , quantum mechanics , gene
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. © 1998 Scripta Technica, Electr Eng Jpn, 124(1), 55–64, 1998