An Improved Particle swarm optimization Algorithm for complex nonlinear Problems

초록

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

키워드

swarm; UAV classification; joint control
제목
An Improved Particle swarm optimization Algorithm for complex nonlinear Problems
저자
Haris Muhammad;  Park, Jiyeon;  Hur, un; Nam,Haewoon
발행일
2022-02
유형
Proceeding
저널명
2022년도 한국통신학회 동계종합학술발표회
페이지
281 ~ 282