An evolutionary swarm intelligence optimizer based on probabilistic distribution-Reference-Cited by-同舟云学术

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An evolutionary swarm intelligence optimizer based on probabilistic distribution

Published:2023-12-16 Issue: Volume: Page:
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Yang Yifei,Yang Haichuan,Li Haotian,Tang Zheng,Gao Shangce^ORCID

Funder

Japan Society for the Promotion of Science

Japan Science and Technology AgencyJapan Science and Technology Agency (JST) Support for Pioneering Research Initiated by the Next Generation

JST through the Establishment of University Fellowships towards the Creation of Science Technology Innovation

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-023-09299-x.pdf

Reference65 articles.

1. Abdel-Basset M, Abdel-Fatah L, Sangaiah AK (2018) Metaheuristic algorithms: a comprehensive review. In: Computational intelligence for multimedia big data on the cloud with engineering applications, pp 185–231. https://doi.org/10.1016/B978-0-12-813314-9.00010-4

2. Poli R, Kennedy J, Blackwell T (2007) Particle swarm optimization. Swarm Intell 1(1):33–57. https://doi.org/10.1007/s11721-007-0002-0

3. Rashedi E, Nezamabadi-Pour H, Saryazdi S (2009) GSA: a gravitational search algorithm. Inf Sci 179(13):2232–2248. https://doi.org/10.1016/j.ins.2009.03.004

4. Zheng Y-J (2015) Water wave optimization: a new nature-inspired metaheuristic. Comput Oper Res 55:1–11. https://doi.org/10.1016/j.cor.2014.10.008

5. Xu Z, Gao S, Yang H, Lei Z (2021) SCJADE: yet another state-of-the-art differential evolution algorithm. IEEJ Trans Electr Electron Eng 16(4):644–646. https://doi.org/10.1002/tee.23340

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