This paper is devoted to the blind identification problem of a special class of nonlinear systems, namely, Volterra models, using a real-coded genetic algorithm (RCGA). The model input is assumed to be a stationary Gaussian sequence or an independent identically distributed (i.i.d.) process. The order of the Volterra series is assumed to be known. The fitness function is defined as the differen...

the purpose of this research is to detect manipulation of stock prices in tehran stock exchange that it has been done through hybrid genetic algorithm-artificial neural network (ann-ga) model and the simplified quadratic discriminant function (sqdf) model. in this study, the variables of price, trading volume and free float stock to match the results of the model and the actual data of price ma...

Through mechanism analysis of simple genetic algorithm(SGA),every genetic operator can be considered as a linear function. So some disadvantages of SGA may be solved if genetic operators are modified to nonlinear function. According to the above method, nonlinear genetic algorithm(NGA) is introduced. By the analysis of the concept of schema, new schema theorem is proved. The above work establis...