Sine cosine algorithm with peer learning for global numerical optimization-Reference-Cited by-同舟云学术

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Sine cosine algorithm with peer learning for global numerical optimization

Published:2024-04-18 Issue: Volume: Page:1-18
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Cheng Jiatang¹²,Lin Qiuhong¹²,Xiong Yan¹²

Affiliation:

1. Key Laboratory of Advanced Manufacturing and Automation Technology, Education Department of Guangxi Zhuang Autonomous Region, Guilin University of Technology, Guilin, People’s Republic of China

2. College of Mechanical and Control Engineering, Guilin University of Technology, Guilin, People’s Republic of China

Funder

Research Foundation

Guilin University of Technology

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2024.2340054

Reference33 articles.

1. An effective hybrid approach based on arithmetic optimization algorithm and sine cosine algorithm for integrating battery energy storage system into distribution networks

2. The Arithmetic Optimization Algorithm

3. Multi-strategy and self-adaptive differential sine–cosine algorithm for multi-robot path planning

4. Butterfly optimization algorithm: a novel approach for global optimization

5. Awad, N. H., M. Z. Ali, J. J. Liang, B. Y. Qu, and P. N. Suganthan. 2016. “Problem Definitions and Evaluation Criteria for the CEC 2017 Special Session and Competition on Single Objective Real-Parameter Numerical Optimization.” In Technical Report. Singapore: Nanyang Technological University.

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