상세정보
학술지
Enhancement of Particle Swarm Optimization by Stabilizing Particle Movement
- 발행일
- 201312
- 출처
- ETRI Journal, v.35 no.6, pp.1168-1171
- ISSN
- 1225-6463
- 출판사
- 한국전자통신연구원 (ETRI)
- 협약과제
- 12IC1400, 쌍방향 정보 교환기반 인텔리전트 복합공간용 IT 조명 시스템 기술 개발, 강태규
- 초록
- We propose an improvement of particle swarm optimization (PSO) based on the stabilization of particle movement (PM). PSO uses a stochastic variable to avoid an unfortunate state in which every particle quickly settles into a unanimous, unchanging direction, which leads to overshoot around the optimum position, resulting in a slow convergence. This study shows that randomly located particles may converge at a fast speed and lower overshoot by using the proportional-integralderivative approach, which is a widely used feedback control mechanism. A benchmark consisting of representative training datasets in the domains of function approximations and pattern recognitions is used to evaluate the performance of the proposed PSO. The final outcome confirms the improved performance of the PSO through facilitating the stabilization of PM. © 2013 ETRI.
- KSP 제안 키워드
- Control mechanism, Fast speed, Feedback Control, Optimum position, Pattern recognition, Slow convergence, improved performance, particle movement, stochastic variable