| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4961436 | Procedia Computer Science | 2017 | 7 Pages |
Abstract
The article is devoted to the study of metaheuristic method for scheduling problems solution. The article describes genetic algorithm successfully applied to solve the problems. The article considers the model of a problem of an optimal timetable development, describes genetic algorithm applied to the problem. The results of the algorithm are provided.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
A.I. Diveev, O.V. Bobr,