Evaluation of the Forms of Education of High School Students Using a Hybrid Model Based on Various Optimization Methods and a Neural Network

This article deals with the multicriteria programming model to optimize time of completing home assignments by school students in both in-class and online forms teaching. To develop a solution, we defined 12 criteria influencing exercises’ effectiveness. In this amount, five describe exercises themselves seven others conditions at which are completed. We used these design neural network, output influences target function search for optimal values three optimization techniques: backtracking algorithm (BSA), particle swarm (PSO), genetic (GA). propose represent findings complete homework as Pareto set.