An optimizing model for solving outsourcing supplier selecting problem based on particle swarm algorithm-Reference-Cited by-同舟云学术

An optimizing model for solving outsourcing supplier selecting problem based on particle swarm algorithm

Published:2018-10-17 Issue:8 Volume:35 Page:526-534
ISSN:2168-1015
Container-title:Journal of Industrial and Production Engineering
language:en
Short-container-title:Journal of Industrial and Production Engineering

Author:

Li Yibing¹,Ding Kang¹,Wang Lei¹,Zheng Wenkai¹,Peng Zhao¹,Guo Shunsheng¹

Affiliation:

1. School of Mechanical and Electronic Engineering, Hubei Digital Manufacturing Key Laboratory, Wuhan University of Technology, Wuhan City, Hubei Province, P. R. China

Funder

Hebei Province Science and Technology Support Program

National Natural Science Foundation of China

Fundamental Research Fund of the Central University

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681015.2018.1533893

Reference25 articles.

1. A genetic algorithm for the Flexible Job-shop Scheduling Problem

2. An optimizing model to solve the nesting problem of rectangle pieces based on genetic algorithm

3. Kennedy J. Particle swarm optimization – Encyclopedia of machine learning. Boston, MA: Springer; 2011. p. 760–766.

4. Designing an integrated multi-echelon agile supply chain network: a hybrid taguchi-particle swarm optimization approach

5. An adaptive multi-population genetic algorithm to solve the multi-objective group scheduling problem in hybrid flexible flowshop with sequence-dependent setup times

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