Abstract:

Cultural algorithm is a new computational framework.The framework depicts cultural evolution as a process of dual inheritance from both population space and belief space.During the evolution process of cultural algorithm, the effective implicit information is abstracted and utilized.This paper presents an integrated intelligent optimization (IIO) to solve large dimension non-linear optimization problems.Genetic algorithm (GA) and particle swarm optimization (PSO) are used in the framework of cultural algorithm.Integrated with neural networks, an integrated intelligent optimization neural network model is proposed.Then IIO is applied to optimize parameters of neural network (NN) in soft-sensor modelling of inlet ammonia content of ammonia synthetic tower.The results show that the model based IIO-NN has more precision and better performance than the model based on BP-NN, GA-NN and PSO-NN.