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Direct use of design criteria in genetic algorithm‐based controller optimization
Author(s) -
Kim YoonJun,
Ghaboussi Jamshid
Publication year - 2001
Publication title -
earthquake engineering and structural dynamics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.218
H-Index - 127
eISSN - 1096-9845
pISSN - 0098-8847
DOI - 10.1002/eqe.61
Subject(s) - robustness (evolution) , linear quadratic gaussian control , fitness function , genetic algorithm , benchmark (surveying) , mathematical optimization , engineering , control theory (sociology) , penalty method , optimal design , reduction (mathematics) , constraint (computer aided design) , optimal control , computer science , control engineering , control (management) , mathematics , machine learning , artificial intelligence , mechanical engineering , biochemistry , chemistry , geometry , geodesy , gene , geography
In this study, genetic algorithms are applied to design controllers for the wind‐excited vibration reduction of a 76‐story tall building in the second‐generation benchmark problem. Design criteria and constraints including the comfort requirement for building occupants and the control robustness are directly incorporated in the formulation and evaluation of the fitness and penalty function of the genetic algorithm‐based control design. The method is efficient in obtaining optimal design with multiple constraint conditions. Two controllers are designed with realistic constraints and different robustness criteria. The corresponding results are investigated and compared with LQG optimal control results. Copyright © 2001 John Wiley & Sons, Ltd.