A hybrid algorithm based on improved sine cosine algorithm and population incremental learning and its application to economic load dispatch in power systems

A hybrid algorithm based on improved sine cosine algorithm and population incremental learning and its application to economic load dispatch in power systems

The Sine Cosine Algorithm (SCA) excels in local search capabilities for solving real optimization problems. However, its strong local search ability and rotational invariance often lead to convergence at local optima. In this paper, we introduce a hybrid single-objective optimization algorithm, the...

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Bibliographic Details
Main Authors: Aoshuang Ye, Yichao Li, Dong Xu, Zhiwei Wu, Guohua Chen, Junjie Tang, Zhiyuan Zhu
Format: Article
Language:English
Published: AIMS Press 2024-12-01
Series:AIMS Energy
Subjects:
meta-heuristic
sine cosine algorithms
population incremental learning
e&p
single-objective optimization
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Online Access:https://www.aimspress.com/article/doi/10.3934/energy.2024059
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