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An Improved Particle swarm optimization Algorithm for complex nonlinear Problems

Authors
Haris MuhammadPark, JiyeonHur, unNam,Haewoon
Issue Date
Feb-2022
Publisher
한국통신학회
Keywords
swarm; UAV classification; joint control
Citation
2022년도 한국통신학회 동계종합학술발표회, pp 281 - 282
Pages
2
Indexed
OTHER
Journal Title
2022년도 한국통신학회 동계종합학술발표회
Start Page
281
End Page
282
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/114747
Abstract
Particle swarm optimizer (PSO) is a very logical algo-rithm to obtained best solutions in engineering and mathe-matical field. However the traditional PSO algorithm andthe existing different algorithm have the issue of delayedand slow convergence speed in different application prob-lems. To deal with such kind of problems an Improvedparticle swarm optimization (PSO) is proposed in this pa-per. The proposed Improved PSO algorithm is been testedon some famous complex benchmark functions
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COLLEGE OF ENGINEERING SCIENCES > SCHOOL OF ELECTRICAL ENGINEERING > 1. Journal Articles

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Nam, Hae woon
ERICA 공학대학 (SCHOOL OF ELECTRICAL ENGINEERING)
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