Design of human resource scheduling method for electric power company based on immune genetic algorithm
A new human resource scheduling method for power companies has been designed based on immune genetic algorithm to address the problem of idle workers or long working hours caused by conventional human resource scheduling methods.Construct a human resource scheduling model with the objective function of minimizing task completion time,minimizing delay and overdue losses,and minimizing idle time.Set constraints such as the start time of job tasks and the maximum allocation of one job task.Introduce immune genetic algorithm to solve the human resource scheduling model and output the optimal scheduling results.The experimental results showed that after applying this method,there was no situation of team space or repeated assignment of work tasks.The completion time of maintenance tasks could be controlled below 25 minutes,with an average task time of 46 minutes and an average daily overtime of only 15 minutes per person.This indicates that the method effectively achieved the design expectations.
Immune genetic algorithmElectric power companyHuman resourcesScheduling methodObjective functionConstraint condition
万方数据
维普
