Multivariate Time Series Predictor With Parameter Optimization and Feature Selection Based on Modified Binary Salp Swarm Algorithm-Reference-Cited by-同舟云学术

Multivariate Time Series Predictor With Parameter Optimization and Feature Selection Based on Modified Binary Salp Swarm Algorithm

Published:2023-04 Issue:4 Volume:19 Page:6150-6159
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Ren Weijie¹^ORCID,Ma Dewei²^ORCID,Han Min³^ORCID

Affiliation:

1. College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China

2. Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China

3. Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education, Dalian University of Technology, Dalian, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/10081096/09864202.pdf?arnumber=9864202

Reference41 articles.

1. Adaptive Distributed Differential Evolution

2. Adaptive probabilities of crossover and mutation in genetic algorithms

3. Evolutionary deep learning: A survey

4. Improved salp swarm algorithm based on weight factor and adaptive mutation

5. Designing neural networks through neuroevolution

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