Chemical Process Optimization Based on Improved Particle Swarm Algorithm
Wu Rui-Hong · 2016
Optimization is an effective technique for improving the performance of chemical production process system which is a typical complex system. The model is complicated and the traditional method is difficult to optimize the object. So, an improved particle swarm optimization algorithm is used to optimize chemical process. When the population falls into local optimum, it carries out Gaussian mutation to jump out local optimum. In the iteration process, it adopts chaos mutation to make population maintain population diversity. The experiment results show that the proposed optimization scheme has better global searching ability and improve the efficiency remarkably.