A Multi-objective Evolutionary Algorithm for Seamless Steel Tube Order-grouping Problem
Zhao Shen, Wenxin Zhang, Jie Liu
Available Online May 2015.
- 10.2991/asei-15.2015.318How to use a DOI?
- order-grouping problem, multi-objective optimization, genetic algorithm, seamless steel tube.
The order-grouping problem of Hot Rolling Seamless Steel Tube is studied in this paper. A multi-objective optimization model minimizing overall delivery date and address difference is established, then a multi-objective evolutionary algorithm with elite-strategy and crowding distance computing is designed to solve this problem. The experiment indicates that the algorithm can solve this problem effectively and is useful for practical production.
- © 2015, 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 - Zhao Shen AU - Wenxin Zhang AU - Jie Liu PY - 2015/05 DA - 2015/05 TI - A Multi-objective Evolutionary Algorithm for Seamless Steel Tube Order-grouping Problem BT - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation PB - Atlantis Press SP - 1618 EP - 1622 SN - 2352-5401 UR - https://doi.org/10.2991/asei-15.2015.318 DO - 10.2991/asei-15.2015.318 ID - Shen2015/05 ER -