The DNA Genetic Algorithm Applied for Solving Optimal Placement of Sensors

Abstract:

In order to solve optimal placement of bridge sensors based on the modal information, a multi-objective integer programming expected value model is established and the number of modal is considered as a stochastic variable in this paper, and here Fisher and MAC matrix are combined as the objective functions . Since DNA Genetic algorithm has the merits of plentiful coding, and decoding, conveying complex knowledge flexibly, these merits and the technique of stochastic simulation are also combined, which for estimating stochastic integer programming expected value models problem. And finally the feasibility of the algorithm is showed by XuGe Bridge as an example.

• Periodical: Applied Mechanics and Materials (Volume 160)
• Pages: 103-108
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.160.103
• Online since: March 2012
• Authors: Xin Liu, Zhong Ren Feng, Xiong Jian Wang, Bao Fu Wang
• Keywords: DNA Genetic Algorithm, Fisher Matrix, MAC Matrix, Optimal Placement of Bridge Sensors, Stochastic Integer Programming, Stochastic Simulation

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DOI: 10.1016/s0377-2217(01)00104-7

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