Particle swarm optimization with adaptive learning strategy-Reference-Cited by-同舟云学术

Particle swarm optimization with adaptive learning strategy

Published:2020-05 Issue: Volume:196 Page:105789
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Zhang Yunfeng,Liu Xinxin,Bao Fangxun,Chi Jing,Zhang Caiming,Liu Peide

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Shandong Province

Fostering Project of Dominant Discipline and Talent Team of Shandong Province Higher Education Institutions

Shandong Provincial Natural Science Fund for Excellent Youth

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference46 articles.

1. Particle swarm optimization;Kennedy,1995

2. R.C. Eberhart, J. Kennedy, A new optimizer using particle swarm theory, in: Proc. Int. Symp. Micromachine Human Sci. Nagoya, Japan, 1995, pp. 39-43.

3. A hybrid particle swarm optimization approach for clustering and classification of datasets;Huang;IEEE Trans. Power. Syst.,2011

4. The synergistic combination of particle swarm optimization and fuzzy sets to design granular classifier;Salehi;IEEE Trans. Evol. Comput.,2015

5. Intelligent skin cancer detection using enhanced particle swarm optimization;Yan;IEEE Trans. Evol. Comput.,2018

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