A two stage learning technique using PSO-based FLC and QFIS for the pursuit evasion differential game

@article{AlTalabi2014ATS,
  title={A two stage learning technique using PSO-based FLC and QFIS for the pursuit evasion differential game},
  author={Ahmad A. Al-Talabi and Howard M. Schwartz},
  journal={2014 IEEE International Conference on Mechatronics and Automation},
  year={2014},
  pages={762-769}
}
This paper presents a two stage learning technique that combines a particle swarm optimization (PSO)-based fuzzy logic control (FLC) algorithm with the Q-Learning fuzzy inference system (QFIS) algorithm. The PSO algorithm is used as a global optimizer to autonomously tune the parameters of a fuzzy logic controller. On the other hand, the QFIS algorithm is… CONTINUE READING