Solution of the Assignment of Schedules Problem with the Gray Wolf Optimizer (GWO), Applying Evolutionary Parameters

Abstract

The educational institutions are faced with the problem of assignment their educational resources (students, teachers, classrooms, material) each scholar period, so there is a need to look for new software tools to satisfy this goals, due to the great amount of possible restrictions that has the assignment schedule problem, it is convenient to use metaheuristics algorithms to obtain acceptable solutions in reasonable times, for this reason, the present article shows the proposal for the resolution of the assignment schedule problem in the educational institutions using the metaheuristic GWO, taking as a use case a public university, a private university and a higher education institute. The test was carried out in a private university, obtaining better results in comparison with a genetic algorithm, demonstrating the potential of the metaheuristic GWO with evolutionary parameters.

An Improved Particle Swarm Optimisation Method for Performance Evaluation of Instructors

“…Looking at the current literature on the performance appraisal of counselors' daily work, most of the research focuses on the analysis of the current status of the performance appraisal system for counselors in colleges and universities. Reasonable and effective performance appraisal system puts forward its own countermeasures and suggestions [13][14][15]. Landy et al believe that performance evaluation is the central function of human resource management because it is a test of the content and early input effects of many human resource management activities [16].…”