A multi-objective evolutionary algorithm guided by directed search for dynamic scheduling-Reference-Cited by-同舟云学术

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A multi-objective evolutionary algorithm guided by directed search for dynamic scheduling

Published:2017-03 Issue: Volume:79 Page:279-290
ISSN:0305-0548
Container-title:Computers & Operations Research
language:en
Short-container-title:Computers & Operations Research

Author:

Wang Du-Juan,Liu Feng,Jin Yaochu

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central

Joint Research Fund for Overseas Chinese, Hong Kong and Macao Scholars of the National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Modeling and Simulation,General Computer Science

Reference51 articles.

1. Rescheduling for new orders;Hall;Oper Res,2004

2. Rescheduling for multiple new orders;Hall;INFORMS J Comput,2007

3. Single-machine rescheduling with deterioration and learning effects against the maximum sequence disruption;Liu;Int J Syst Sci,2015

4. Mathematical modeling and multi-objective evolutionary algorithms applied to dynamic flexible job shop scheduling problems;Shen;Inf Sci,2015

5. Executing production schedules in the face of uncertainties;Aytug;Eur J Oper Res,2005

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