تقرير
Enhancing Evolutionary Solver Efficiency for NP Hard Single Machine Scheduling Problems
| العنوان: | Enhancing Evolutionary Solver Efficiency for NP Hard Single Machine Scheduling Problems |
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| المؤلفون: | Alromema, Mohammed, Makarem, Mohammed A. |
| المصدر: | International Journal of Science and Research (IJSR), ISSN: 2319-7064, Volume 13 Issue 28, November 2023 |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Computational Engineering, Finance, and Science |
| الوصف: | The study explores the optimization of evolutionary solver parameters for minimizing total tardiness in single machine scheduling, an NP-hard problem with zero ready times included. It investigates various parameter combinations, including population sizes, mutation rates, and a constant convergence rate, both above and below default values. The aim is to enhance the solver's effectiveness in addressing this complex challenge. The findings contribute to improving scheduling efficiency in manufacturing and operations management contexts. Comment: 11 pages, 13 figures, International Journal of Science and Research (IJSR), ISSN: 2319-7064, Volume 13 Issue 28, November 2023 |
| نوع الوثيقة: | Working Paper |
| DOI: | 10.21275/SR231128074407 |
| URL الوصول: | http://arxiv.org/abs/2403.19109 |
| رقم الأكسشن: | edsarx.2403.19109 |
| قاعدة البيانات: | arXiv |
| DOI: | 10.21275/SR231128074407 |
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