Robust estimation of model parameters of the probability integral method based on CA-rPSO-Reference-Cited by-同舟云学术

Robust estimation of model parameters of the probability integral method based on CA-rPSO

Published:2021-08-17 Issue: Volume: Page:1-11
ISSN:0039-6265
Container-title:Survey Review
language:en
Short-container-title:Survey Review

Author:

Wang Zhengshuai¹,Zhu Chuanguang²,Zhang Hongzhen³,Kang Jianrong¹,Hu Jinshan¹

Affiliation:

1. School of Geography, Geodesy and Planning, Jiangsu Normal University, Xuzhou, People’s Republic of China

2. Key Laboratory of Coal Resources Clean-utilization & Mine Environment Protection of Hunan Province, Hunan University of Science and Technology, Xiangtan, People’s Republic of China

3. School of Environment Science and Spatial Information, China University of Mining and Technology, Xuzhou, People’s Republic of China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hunan Province

Publisher

Informa UK Limited

Subject

Earth and Planetary Sciences (miscellaneous),Computers in Earth Sciences,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00396265.2021.1964255

Reference51 articles.

1. Automated optimal design of double-layer latticed domes using particle swarm optimization

2. Metaheuristics in combinatorial optimization

3. Particle swarm stability: a theoretical extension using the non-stagnate distribution assumption

4. The particle swarm - explosion, stability, and convergence in a multidimensional complex space

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