Hybrid particle swarm optimization algorithm based on the theory of reinforcement learning in psychology

HIGHLIGHTS

• who: Wenya Huang et al. from the School of Business, Hunan University of Science and Technology, Xiangtan, China have published the Article: Hybrid Particle Swarm Optimization Algorithm Based on the Theory of Reinforcement Learning in Psychology, in the Journal: Systems 2023, 83 of /2023/
• what: To solve this problem in this paper the authors propose a Hybrid Reinforcement Learning Particle Swarm Algorithm (HRLPSO) based on the theory of reinforcement learning in psychology. The research regarding learning factors usually focuses on two aspects. The authors aimed to mutate the particle when the particle of the PSO . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.