Minimizing mean weighted tardiness in unrelated parallel machine scheduling with reinforcement learning-Reference-Cited by-同舟云学术

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Minimizing mean weighted tardiness in unrelated parallel machine scheduling with reinforcement learning

Published:2012-07 Issue:7 Volume:39 Page:1315-1324
ISSN:0305-0548
Container-title:Computers & Operations Research
language:en
Short-container-title:Computers & Operations Research

Author:

Zhang Zhicong,Zheng Li,Li Na,Wang Weiping,Zhong Shouyan,Hu Kaishun

Funder

Humanities and Social Sciences Program of Ministry of Education

Natural Science Foundation of Guangdong Province, China

Natural Science Foundation of China

863 Program of China

Natural Science Foundation for Young Scholars of Dongguan University of Technology

Publisher

Elsevier BV

Subject

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

Reference43 articles.

1. Scheduling parallel machines to minimize total weighted and unweighted tardiness;Alidaee;Computers & Operations Research,1997

2. Tabu search for scheduling on identical parallel machines to minimize mean tardiness;Armentano;Journal of Intelligent Manufacturing,2000

3. Dynamic job-shop scheduling using reinforcement learning agents;Aydin;Robotics and Autonomous Systems,2000

4. A dynamic priority rule for scheduling against due-dates;Baker;Journal of Operations Management,1983

5. Heuristic algorithms for unrelated parallel machine scheduling with a common due date, release dates, and linear earliness and tardiness penalties;Bank;Mathematical and Computer Modelling,2001

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