A New MRP Optimization Algorithm Based on Multi-Objective Genetic Evolution
Qin Liao1, Wangyu Chen
1School of Mathematical Science, South China University of Technology
Available Online October 2007.
- 10.2991/iske.2007.152How to use a DOI?
- Genetic algorithm, Multi-objective MRP, CRP.
This paper takes integrated optimization of Material Requirements Planning (MRP) and Capacity Requirements Planning (CRP) as research intention, builds a novel multi-objective optimization algorithm of MRP and CRP based on genetic evolution, and designs the proper genetic operators which take the integrated configuration of productive requirement and resource requirement into account. Thereby, it is proved that the novel MRP algorithm based on genetic evolution is superior to the conventional MRP algorithm.
- © 2007, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Qin Liao AU - Wangyu Chen PY - 2007/10 DA - 2007/10 TI - A New MRP Optimization Algorithm Based on Multi-Objective Genetic Evolution BT - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007) PB - Atlantis Press SP - 893 EP - 900 SN - 1951-6851 UR - https://doi.org/10.2991/iske.2007.152 DO - 10.2991/iske.2007.152 ID - Liao2007/10 ER -