| Great attention has given to the structure health monitoring based on dynamic characteristics. We generally believe that the dynamic characteristic parameters (the stiffness, frequency, and mode) are changed when damage is occurred. Then we could use these parameters which involve damaged information to evaluate the health condition of a structure. The methods are mainly divided into two kinds: one is the traditional signal process method; another is minimized the value of an objective function which is established by the dynamic characteristic parameters. Genetic algorithm is a kind of optimized algorithm which was used in field of function optimizing, automatic controlling, machine leaning, NN and so forth. An application of genetic algorithms to structural health monitoring has been studied, and the mainly points are:1. The method of establishing objective function has been studied. More research about residue force method which widely used in structure health monitoring has been done in this paper. A method to obtain objective value which used as searching information in GA through residue force method has been brought out.2. Some ways to ameliorate GA is researched in this paper. Since the objective function involve many decisive variables and more accurate solutions are needed. Some improvements are advanced to enhance the optimizing capability of the genetic algorithm based on former research. For instance, Floating-point coding method, Fitness calculation based on ranking, Stochastic universal sampling, etc3. The application of GA in structure monitoring has been studied. The performance of GA under several circumstance (single-damage, multi-damage, different modes, etc) is mentioned in the illustrated example.
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