An optimization design of vehicle axle system based on multiobjective cooperative optimization algorithm-Reference-Cited by-同舟云学术

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An optimization design of vehicle axle system based on multiobjective cooperative optimization algorithm

Published:2018-11-17 Issue:8 Volume:41 Page:635-642
ISSN:0253-3839
Container-title:Journal of the Chinese Institute of Engineers
language:en
Short-container-title:Journal of the Chinese Institute of Engineers

Author:

Zhou Junchao¹²³,Du Zixue²,Liao Yinghua¹,Tang Aihua¹³

Affiliation:

1. School of mechanical engineering, Sichuan University of Science ＆ Engineering, Sichuan Zigong, China

2. Institute of Urban Rail, ChongQing JiaoTong University, ChongQing, China

3. Artificial Intelligence Key Laboratory of Sichuan Province, Zigong Sichuan, China

Funder

National Natural Science Foundation of China

Artificial Intelligence Key Laboratory of Sichuan Province

Sichuan University of Science and Engineering

Publisher

Informa UK Limited

Subject

General Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/02533839.2018.1534559

Reference20 articles.

1. Multiple vehicle axle load identification from continuous bridge bending moment response

2. Corrigendum to “A genetic algorithm based approach for multi-objective hardware/software co-optimization” [J. Sustain. Comput.: Inform. Syst. 10 (2016) 36–47]

3. Design for Six Sigma through collaborative multiobjective optimization

4. Entropy-based multi-objective genetic algorithm for design optimization

5. A competitive and cooperative co-evolutionary approach to multi-objective particle swarm optimization algorithm design

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