Adaptive Cooperative Sub-Swarms Optimization for tuning Neuro-Fuzzy model
Sana Bouzaida, Anis Sakly · 2016
This paper proposes a Takagi-Sugeno-Kang (TSK)-type Neuro-Fuzzy model tuned by an adaptive learning algorithm, called Adaptive Cooperative Particle Sub-Swarms Optimization (ACPSSO). The proposed algorithm represents a modified version of the standard Cooperative Particles Sub-Swarms Optimization algorithm (CPSSO). It has adaptive performance to treat real systems dynamics. In this study, a time-varying evaluation function is used to express environmental changes. The proposed algorithm was demonstrated through online control problems of dynamic systems, and was compared with others algorithms to verify its performance.