Scheduling job seekers using genetic algorithms

摘要

This paper applies the heuristic algorithms to the problem of scheduling the job seekers over the available jobs in the public sector (government). As a way of providing equal chances for the graduates to win a job in government sector, the government of Kuwait uses a central scheduling system to nominate the graduates of the colleges and universities over the available job vacancies in the government. Usually the government uses a very classical scheduling system to nominate job seekers to the available jobs. The current scheduling method uses very rigid criteria which considers some parameters like Major, GPA, Graduation year, Marital status in a sequential order to evaluate the job seekers. We will use the genetic algorithms to get an optimal scheduling to job seekers over the available jobs. The aim of this project is to make the process of assigning the person for the future job as perfect and fair as possible. We will put in mind two main criteria. The first is to put the right person (in term of educational degree) in the right position (the job duties) depending on the list of approved certificates to hold the job for each job title. The second criterion is to put the person in a job he likes depending on a list of desired jobs selected by the person himself.