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- Article name
- DATA PREPARATION AND IMPLEMENTATION OF MODERN SCHEDULING ALGORITHMS
- Authors
- Butko A. O., , mati-tias@yandex.ru, Moscow Aviation Institute (National Research University), Moscow, Russia
Semenov G. E., , tias@matias.ru, Moscow Aviation Institute (National Research University), Moscow, Russia
- Keywords
- planning / optimization / data conversion / modeling / optimization algorithms / genetic algorithms / production planning
- Year
- 2019 Issue 1 Pages 3 - 8
- Code EDN
- Code DOI
- Abstract
- The authors consider the possibility of using modern algorithms for optimization and production planning. Special attention is paid to the study of ant and genetic algorithms. In practice, the problem is solved using software development tools, and the result is proposed as a scheduler application that allows you to generate approximate work sequences using various currently known heuristic and approximate methods for solving combinatorial problems.
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