@inproceedings{7e5a3cac634a49d0ac6050ee81bd9258,
title = "Optimal placement of actuators in actively controlled structures by genetic algorithms",
abstract = "Optimal placement of actuators for vibration active control of structures by Genetic Algorithms is discussed in the present paper. The optimal function is defined by instantaneous optimal control algorithm. For avoiding the constraint violations caused by general crossover and basic mutation operation when the amount of actuators is fixed, a new genetic method is presented, i.e. look for a distinguishable code which satisfy certain condition, by distinguishable code to cross and by two-gene place to mutate, the result of crossover and mutation operation is that the created gene don't violate constraint. Simulation results demonstrate that the method in this paper is feasible, and the optimization velocity is fast.",
keywords = "Active control, Genetic algorithm, Optimal placement",
author = "Huiyong Guo and Ling Zhang and Jinxiong Zhou and Jian Jiang",
year = "2002",
language = "英语",
isbn = "703010787X",
series = "Process in Safety Science and Technology Part A",
pages = "62--67",
editor = "H. Ping and W. Yajun and L. Shengcai and Q. Xinming and H, Ping and W. Yajun and L. Shengcai and Q. Xinming",
booktitle = "Process in Safety Science and Technology Part A",
note = "Progress in Safety Science and Technology ; Conference date: 10-10-2002 Through 13-10-2002",
}