Optimal security protection strategy selection model based on q-learning particle swarm optimization

HIGHLIGHTS

• who: Xin Gao and colleagues from the Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan, China have published the paper: Optimal Security Protection Strategy Selection Model Based on Q-Learning Particle Swarm Optimization, in the Journal: Entropy 2022, 24, 1727. of /2022/
• what: The authors propose an strategy selection model and develop an optimization framework based on Q-Learning particle swarm optimization (QLPSO). The above-mentioned research focuses mainly on balancing benefits and costs, and on constructing the objective function, and the research on the algorithm for selecting the optimal . . .
  

   

  

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