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Research on Quality Management of Urban Rail Transit Vehicle Frame Overhaul Project Read chapter Read first chapter

2023 | OriginalPaper | Chapter

25. A Hybrid Orthogonal Learning and QUATRE Algorithm Based on PPE Algorithm

Authors : Lulu Liang, Shu-Chuan Chu, Tien-Szu Pan, Tsu-Yang Wu

Published in: Advances in Smart Vehicular Technology, Transportation, Communication and Applications

Publisher: Springer Nature Singapore

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Abstract

Combining the characteristics of PPE, QUATRE algorithm, and orthogonal learning, this paper proposes a hybrid Orthogonal Learning and QUATRE algorithm based on the PPE algorithm (OLQTPPE). This algorithm takes the PPE algorithm as the main body and uses the QUATRE algorithm to search deeper. The purpose of using the QUATRE algorithm is to prevent the algorithm from falling into local optimization. After this, orthogonal learning is used to optimize the whole, to find better particles in a small area. The algorithm is tested on CEC2014 and compared with PSO, PPSO, BA, and PPE. The results show that the algorithm is superior to the four algorithms. In particular, it is the proposed OLQTPPE algorithm that has high performance and effectiveness compared to PSO, PPSO, and BA algorithms.

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Metadata
Title
A Hybrid Orthogonal Learning and QUATRE Algorithm Based on PPE Algorithm
Authors
Lulu Liang
Shu-Chuan Chu
Tien-Szu Pan
Tsu-Yang Wu
Copyright Year
2023
Publisher
Springer Nature Singapore
Book
Advances in Smart Vehicular Technology, Transportation, Communication and Applications

Print ISBN: 978-981-9908-47-9

Electronic ISBN: 978-981-9908-48-6

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-981-99-0848-6_25

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