An effective MCTS-based algorithm for minimizing makespan in dynamic flexible job shop scheduling problem-Reference-Cited by-同舟云学术

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An effective MCTS-based algorithm for minimizing makespan in dynamic flexible job shop scheduling problem

Published:2021-05 Issue: Volume:155 Page:107211
ISSN:0360-8352
Container-title:Computers & Industrial Engineering
language:en
Short-container-title:Computers & Industrial Engineering

Author:

Li Kexin,Deng Qianwang,Zhang Like,Fan Qing,Gong Guiliang,Ding Sun

Funder

National Natural Science Foundation of China

Ministry of Science and Technology of the People's Republic of China

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference42 articles.

1. Multi-objective scheduling of dynamic job shop using variable neighborhood search;Adibi;Expert Systems with Applications,2010

2. Combining Monte-Carlo and hyper-heuristic methods for the multi-mode resource-constrained multi-project scheduling problem;Asta;Information Sciences,2016

3. Routing and scheduling in a flexible job shop by tabu search;Brandimarte;Annals of Operations Research,1993

4. A survey of Monte Carlo tree search methods;Browne;IEEE Transactions on Computational Intelligence and Ai in Games,2012

5. An adaptive scheduling algorithm for dynamic jobs for dealing with the flexible job shop scheduling problem;Cao;Business & Information Systems Engineering,2019

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