Research on improved genetic algorithm in path optimization of aviation logistics distribution center-Reference-Cited by-同舟云学术

Research on improved genetic algorithm in path optimization of aviation logistics distribution center

Published:2020-01-09 Issue:1 Volume:38 Page:29-37
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Sun Yixiang¹²,Geng Nana³,Gong Shuli¹,Yang Yinbao¹

Affiliation:

1. College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Jiangsu Nanjing, China

2. Jiangsu Police Institute, Jiangsu Nanjing, China

3. School of Modern Post, Nanjing University of Posts and Telecommunications, Jiangsu Nanjing, China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference16 articles.

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3. Joint optimization of production planning and supplier selection incorporating customer flexibility: An improved genetic approach;Cui;Journal of Intelligent Manufacturing,2016

4. A new method of optimizing bolts layout in connector based on improved genetic algorithm;Xiao;Journal of Northwestern Polytechnical University,2017

5. The impact of hubbing concentration on flight delays within airline networks: An empirical analysis of the us domestic market;Baumgarten;Transportation Research Part E,2014

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