التفاصيل البيبلوغرافية
| العنوان: |
A genetic programming learning approach to generate dispatching rules for flexible shop scheduling problems |
| المؤلفون: |
Roland Braune (Department of Business Decisions and Analytics, Faculty of Business, Economics and Statistics, University of Vienna), Frank Benda (Department of Business Administration, Faculty of Business, Economics and Statistics, University of Vienna), Karl F. Doerner (Department of Business Decisions and Analytics, Faculty of Business, Economics and Statistics, University of Vienna), Richard F. Hartl (Department of Business Decisions and Analytics, Faculty of Business, Economics and Statistics, University of Vienna) |
| المصدر: |
International Journal of Production Economics ; issn:0925-5273 |
| بيانات النشر: |
Elsevier BV |
| سنة النشر: |
2022 |
| المجموعة: |
University of Vienna: Phaidra |
| مصطلحات موضوعية: |
Flexible shop scheduling, Genetic programming, Machine learning, Iterative dispatching rule, Multi-tree representation |
| الوصف: |
The abstract is available here: https://uscholar.univie.ac.at/o:1588373 |
| نوع الوثيقة: |
text |
| وصف الملف: |
application/pdf |
| اللغة: |
English |
| Relation: |
hdl:11353/10.1588373; https://phaidra.univie.ac.at/o:1588373 |
| DOI: |
10.1016/j.ijpe.2021.108342 |
| الاتاحة: |
https://doi.org/10.1016/j.ijpe.2021.108342
https://phaidra.univie.ac.at/o:1588373 |
| Rights: |
http://creativecommons.org/licenses/by/4.0/ ; © 2021 The Authors |
| رقم الانضمام: |
edsbas.D458D2FE |
| قاعدة البيانات: |
BASE |