A Modified Sine Cosine Algorithm With Teacher Supervision Learning for Global Optimization

The sine cosine algorithm (SCA) is a recently developed meta-heuristic algorithm for solving global optimization problems. It has shown excellent performance in meta-heuristic algorithms. But this algorithm also has shortcomings such as low accuracy, easy to fall into a local solution, and slow conv...

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Bibliographic Details
Main Authors: Hang Xian, Chenglin Yang, Houjun Wang, Xiaoyan Yang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9334999/