Memetic quantum optimization algorithm with levy flight for high dimension function optimization-Reference-Cited by-同舟云学术

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Memetic quantum optimization algorithm with levy flight for high dimension function optimization

Published:2022-04-07 Issue:15 Volume:52 Page:17922-17940
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Yang Jin,Cai Yongming,Tang Deyu^ORCID,Chen Wei,Hu Lingzhi

Funder

Department of Education of Guangdong Province

Innovative Research Group Project of the National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Guangdong Medical Research Foundation

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-022-03429-z.pdf

Reference58 articles.

1. Qiao W, Yang Z (2019) Solving large-scale function optimization problem by using a new metaheuristic algorithm based on quantum dolphin swarm algorithm. Ieee Access 7:138972–138989

2. Tang C, Zhou Y, Tang Z, Luo Q (2021) Teaching-learning-based pathfinder algorithm for function and engineering optimization problems. Appl Intell

3. Li W, Lei Z, Yuan J, Luo H, Xu Q (2021) Enhancing the competitive swarm optimizer with covariance matrix adaptation for large scale optimization. Appl Intell

4. Erfani SM, Rajasegarar S, Karunasekera S, Leckie C (2016) High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning. Pattern Recogn 58:121–134

5. Gu S, Cheng R, Jin Y (2018) Feature selection for high-dimensional classification using a competitive swarm optimizer. Soft Comput 22:811–822

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