A hybrid estimation of distribution algorithm for simulation-based scheduling in a stochastic permutation flowshop-Reference-Cited by-同舟云学术

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A hybrid estimation of distribution algorithm for simulation-based scheduling in a stochastic permutation flowshop

Published:2015-12 Issue: Volume:90 Page:186-196
ISSN:0360-8352
Container-title:Computers & Industrial Engineering
language:en
Short-container-title:Computers & Industrial Engineering

Author:

Wang K.,Choi S.H.,Lu H.

Funder

Key Program from National Natural Science Foundation of China

National Science Foundation of China

Humanities and Social Sciences Foundation of the Ministry of Education of China

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference48 articles.

1. Improvement heuristic for the flow-shop scheduling problem: an adaptive-learning approach;Agarwal;European Journal of Operational Research,2006

2. Group shops scheduling with makespan criterion subject to random release dates and processing times;Ahmadizar;Computers & Operations Research,2010

3. A distance-based ranking model estimation of distribution algorithm for the flowshop scheduling problem;Ceberio;IEEE Transactions on Evolutionary Computation,2014

4. Artificial chromosomes embedded in genetic algorithm for a chip resistor scheduling problem in minimizing the makespan;Chang;Expert Systems with Applications,2009

5. Addressing the advantages of using ensemble probabilistic models in estimation of distribution algorithms for scheduling problems;Chen;International Journal of Production Economics,2013

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