Many-objective flow shop scheduling optimisation with genetic algorithm based on fuzzy sets-Reference-Cited by-同舟云学术

Many-objective flow shop scheduling optimisation with genetic algorithm based on fuzzy sets

Published:2019-12-26 Issue:3 Volume:59 Page:702-726
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Xu Wen-Jie¹,He Li-Jun²,Zhu Guang-Yu¹³

Affiliation:

1. School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, People’s Republic of China

2. School of Logistics Engineering, Wuhan University of Technology, Wuhan, People’s Republic of China

3. R & D Cooperative Innovation Center of Bus and Special Vehicle in Fujian province, Xiamen University of Technology, Xiamen, People’s Republic of China

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2019.1705418

Reference51 articles.

1. Evolutionary Multiobjective Optimization

2. Permutation flow shop scheduling problem to minimize nonlinear objective function with release dates

3. Handling forecasting problems based on high-order fuzzy logical relationships

4. Parallelized genetic ant colony systems for solving the traveling salesman problem

5. Group decision making using incomplete fuzzy preference relations based on the additive consistency and the order consistency

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