A modified teaching–learning-based optimisation algorithm for bi-objective re-entrant hybrid flowshop scheduling-Reference-Cited by-同舟云学术

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A modified teaching–learning-based optimisation algorithm for bi-objective re-entrant hybrid flowshop scheduling

Published:2015-12-14 Issue:12 Volume:54 Page:3622-3639
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Shen Jing-nan,Wang Ling,Zheng Huan-yu

Funder

National Science Fund for Distinguished Young Scholars of China

National Science Foundation of China

Doctoral Program Foundation of Institutions of Higher Education of China

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

http://www.tandfonline.com/doi/pdf/10.1080/00207543.2015.1120900

Reference40 articles.

1. A genetic algorithm for an industrial multiprocessor flow shop scheduling problem with recirculation

2. A survey on optimization metaheuristics

3. Design of space trusses using modified teaching–learning based optimization

4. Teaching learning based optimization with Pareto tournament for the multiobjective software requirements selection

5. Flexible flow line scheduling problems with re-entrant flows and queue-time constraints

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1. Job-shop scheduling with limited flexible workers considering ergonomic factors using an improved multi-objective discrete Jaya algorithm;Computers & Operations Research;2024-02

2. An Elite-Class Teaching-Learning-Based Optimization for Reentrant Hybrid Flow Shop Scheduling with Bottleneck Stage;Computers, Materials & Continua;2024

3. Improved MOEA/D with local search for solving multi-stage distributed reentrant hybrid flow shop scheduling problem;Expert Systems with Applications;2023-12

4. Flexible job-shop scheduling with limited flexible workers using an improved multiobjective discrete teaching–learning based optimization algorithm;Optimization and Engineering;2023-09-21

5. A systematic review of multi-objective hybrid flow shop scheduling;European Journal of Operational Research;2023-08

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