2021.Vol4.Sep.NO3

• Title: Research on Human Resource Scheduling Optimization Based on Artificial Intelligence Technology
• Name: Jerry Chun-Wei Lin
• Company: Western Norway University of Applied Sciences, Bergen, Norway
• Abstract:

   The optimization method of human resource scheduling based on artificial intelligence technology is studied to solve the problems of resource waste and project delay in personnel deployment in various enterprises. Based on the premise of effective utilization of multiple skills of employees, considering the constraints of human resources, the mathematical model of human resources scheduling is established with the goal of minimizing project duration as human resources scheduling. Chaotic Particle Swarm Optimization (PSO) algorithm is used to solve the mathematical model, and the optimal solution of human resource scheduling is obtained. Chaotic particle swarm optimization (PSO) adjusts the search process through chaotic mapping and dynamic weight. By improving the global search ability of PSO, it optimizes the solving process of human resource scheduling mathematical model and obtains the minimum time limit of human resource scheduling. The experimental results show that this method has a fast convergence speed, can realize the full utilization of human resources, and greatly shorten the duration of human resources scheduling.

  
  

• Keyword: artificial intelligence; Human resources; Scheduling optimization; Chaotic mapping; The particle swarm; Dynamic weight; Constraint condition; Global search
• DOI: 10.12250/jpciams2021090307
• Citation form: Jerry Chun-Wei Lin.Research on Human Resource Scheduling Optimization Based on Artificial Intelligence Technology [J]. Computer Informatization and Mechanical System,2021,Vol.4,pp.28-31

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