A novel hybrid conjugate gradient method for multiobjective optimization problems-Reference-Cited by-同舟云学术

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A novel hybrid conjugate gradient method for multiobjective optimization problems

Published:2024-07-02 Issue: Volume: Page:1-20
ISSN:0233-1934
Container-title:Optimization
language:en
Short-container-title:Optimization

Author:

Peng Jian-Wen¹,Zhang Jie-Wen²,Yao Jen-Chih³⁴

Affiliation:

1. School of Mathematical Sciences, Chongqing Normal University, Chongqing, People's Republic of China

2. School of Mathematical Sciences, Chongqing Normal University, Chongqing, People's Republic of China

3. Center for General Education, China Medical University, Taichung, Taiwan

4. Academy of Romanian Scientists, Bucharest, Romania

Funder

National Natural Science Foundation of China

Basic and Advanced Research Project of Chongqing

Team Project of Innovation Leading Talent in Chongqing

Chongqing Talent Plan contract system project

Chongqing University Innovation Research Group Project

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/02331934.2024.2373903

Reference35 articles.

1. Eschenauer H, Koski J, Osyczka A. Multicriteria design optimization: procedures and applications. Berlin: Springer; 2012.

2. Dominating Sets for Convex Functions with Some Applications

3. Interactive multiobjective analysis and assimilative capacity-based ocean disposal decisions

4. Sener O Koltun V. Multi-task learning as multi-objective optimization. In: Advances in neural information processing systems vol. 31. 2018.

5. Simultaneous Minimization of Mean and Variation of Flow Time and Waiting Time in Single Machine Systems

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