Optimizing fuzzy membership function using dynamic multi swarm — PSO
Animesh Kumar Paul, Pintu Chandra Shill · 2016
Performance of fuzzy application to solve the control problems depends on a number of parameters such as the choice and shape of the membership function. Defining MFs manually in a proper way is time consuming, prone to errors and difficult. And especially it depends subjectively based on expert's experiences. Improvement of the performance of the fuzzy control system is made by the optimization of the membership function. In this paper, a Dynamic Multi-Swarm PSO is used to optimize the fuzzy membership function. DMS-PSO has the ability to avoid local optimal and able to generate an optimal set of parameters for fuzzy control system. The experiment carried out with real-life application, park a vehicle into garage beginning from any starting position; results show that the better performance of proposed fuzzy model is obtained by using the optimized membership functions than a simple fuzzy model when the membership functions were heuristically defined.