Research on multi-user air cargo route selection based on improved genetic algorithm-Reference-Cited by-同舟云学术

Research on multi-user air cargo route selection based on improved genetic algorithm

Published:2020-01-09 Issue:1 Volume:38 Page:39-46
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Zhao Lei¹

Affiliation:

1. Department of Sociology, Wuhan University, Wuhan, Hubei, China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference15 articles.

1. Low carbon-oriented route optimization of tobacco logistics via double-layer genetic algorithm;Cunbing;Tobacco Science & Technology,2018

2. Comparative Analysis of Intelligent Transportation Systems for Sustainable Environment in Smart Cities;Balasubramaniam;Sustainability,2017

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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