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- Article name
- A MODIFIED GENETIC ALGORITHM FOR FINDING THE OPTIMAL PRODUCTION SCHEDULE
- Authors
- Sergeev A. I., , alexandr_sergeew@mail.ru, Orenburg State University, Orenburg, Russia
Voronin D. N., , vdnvip@mail.ru, Orenburg State University, Orenburg, Russia
Proskurin D. A., , dimitrpro@mail.ru, Orenburg State University, Orenburg, Russia
Bulatov A. A., , havast@list.ru, Samara State University of Railway Engineering, Samara, Russia
- Keywords
- production schedule / genetic algorithm / probability of mutation
- Year
- 2024 Issue 2 Pages 43 - 49
- Code EDN
- ESPUDL
- Code DOI
- 10.52190/2073-2597_2024_2_43
- Abstract
- The article describes the results of computational experiments conducted to determine the global optimal production schedule using a genetic algorithm. The influence of various options for changing the mutation probability value on the process of searching for an optimal production schedule is analyzed. A modified genetic algorithm is proposed, including exploratory search and global optimal value search, which is guaranteed to determine the global optimal production schedule for all cases of running the optimization process. Ways to improve the proposed approach are identified, aimed at reducing the time for determining the optimal production schedule.
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