A robust dynamic scheduling approach based on release time series forecasting for the steelmaking-continuous casting production-Reference-Cited by-同舟云学术

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A robust dynamic scheduling approach based on release time series forecasting for the steelmaking-continuous casting production

Published:2020-07 Issue: Volume:92 Page:106271
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Long Jianyu,Sun Zhenzhong,Pardalos Panos M.,Bai Yun,Zhang Shaohui,Li Chuan

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Youth Innovative Talent Project

Department of Education of Guangdong Province, China

University of Florida, USA

Humboldt Research Award

Publisher

Elsevier BV

Subject

Software

Reference34 articles.

1. The hybrid flow shop scheduling problem;Ruiz;European J. Oper. Res.,2010

2. A new hybrid ant colony optimization algorithm for solving the no-wait flow shop scheduling problems;Engin;Appl. Soft Comput.,2018

3. New efficient constructive heuristics for the hybrid flowshop to minimise makespan: A computational evaluation of heuristics;Fernandez-Viagas;Expert Syst. Appl.,2018

4. Scheduling a realistic hybrid flow shop with stage skipping and adjustable processing time in steel plants;Long;Appl. Soft Comput.,2018

5. An effective co-evolutionary artificial bee colony algorithm for steelmaking-continuous casting scheduling;Pan;European J. Oper. Res.,2016

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