Intelligent Adaptive Genetic Algorithm and its Application

Through analyzing the operating mechanism of the genetic algorithm, intelligent adaptive genetic algorithm (IAGA) is proposed whose crossover probability and mutation probability can be adjusted adaptively. Then IAGA is applied to optimize the weights and thresholds of the forward neural network, and establish soft-sensor model of gasoline endpoint of the main fractionator of fluid catalytic cracking unit. Results show that the method proposed by this paper is feasible and effective in soft-sensing modeling of gasoline endpoint.