THE MATHEMATICAL AND SOFTWARE OF DECISION SUPPORT MAKING DURING THE PROCESS OF FORMATION THE SCHEDULE OF EDUCATION ACTIVITIES

Abstract

The article entitled “The mathematical and software of decision support making during the process of formation the schedule of education activities” is devoted to the problem of automating the formation of a classroom schedule in a higher educational institution. The article consists of an introduction, five sections, conclusions and references. The first section provides a justification for the choice of implementation method. The second section is devoted to the description of the algorithms used. The third section indicates the means of implementing a software product, presents an information-logical database model for the “Schedule” system. The fourth section describes the logical structure of the software product. The fifth section presents the results of the implementation and testing of the software product. The purpose of the study is the development and implementation of a software system designed to automate the process of compiling a classroom schedule in the branch of the Transdniestrian State University. T.G. Shevchenko in Rybnitsa. The object of the study is the automation of the formation of the schedule of classrooms. The subject of the research is the implementation of a genetic algorithm as one of the adaptive search methods for solving functional optimization problems in order to automate the generation of a schedule. At the stage of the research of the subject area, the methodology of scheduling in universities was studied. There are not so many developments in the automation of scheduling tasks. This suggests that this task is relevant and unified approaches to its solution still does not exist. A new approach to the implementation of solving the problem of finding the optimal schedule was the application of an expert approach based on the use of a genetic algorithm. The authors describe the feasibility of using the genetic algorithm as one of the adaptive search methods for solving functional optimization problems in order to automate the formation of the schedule. Evaluating the work as a whole, it can be argued that the practical significance and prospects of development of this research direction is obvious.