Empirical Genetic Algorithm And Its Application

Abstrcat Genetic Algorithms is a global optimization method perfectly developed in theseyears, which is robust,widely used and has high accuracy. It often used to solve civilengineering problem, especially for conversion analysis with low sensitive damageindex and inspective dates affected by big noise. In the complex conversion analysiswith multi-degrees of freedom, genetic algorithm has so many calculation counts. Thepoint is that evolution algorithm has a great deal positive analysis. Reduce the positivecalculation counts is an effective method to enlarge the range of GA's using. Due to ANN's large scale concurrent ability , the fault tolerance ,self-organization,self-adapting and associational function, it was an important meansto solve problems in many project fields. An algorithm is proposed in this paper whichmakes an organic assemblage between GA and ANN. It performs the parallelcomputation in the evolutional population. The six classical functions show the EGAis more effective than GA. The counts are reduced. It is significant for the complexproblems. We call it empirical genetic algorithms. The definition of damage index is the key in the structure health supervision.Through comparing and research, flexibility matrix, a damage indetification index, isused in this paper for diagnosis damage location and severity. Based on the theoryproposed in this paper, an ideas is proposed in this paper——apply EGA to detect theviaduct damage.