A Multi-objective Evolutionary Algorithm for Seamless Steel Tube Order-grouping Problem

DOI

10.2991/asei-15.2015.318How to use a DOI?

Keywords

order-grouping problem, multi-objective optimization, genetic algorithm, seamless steel tube.

Abstract

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.

Copyright

© 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/).

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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  -