- 期刊
ON THE PERFORMANCE OF THE PARTICLE SWARM OPTIMIZATION ALGORITHM WITH VARIOUS INERTIA WEIGHT VARIANTS FOR COMPUTING OPTIMAL CONTROL OF A CLASS OF HYBRID SYSTEMS
延伸閱讀
- ARUMUGAM, M. S., & RAO, M. V. C. (2005). ON THE OPTIMAL CONTROL OF SINGLE-STAGE HYBRID MANUFACTURING SYSTEMS VIA NOVEL AND DIFFERENT VARIANTS OF PARTICLE SWARM OPTIMIZATION ALGORITHM. Discrete Dynamics in Nature and Society, 2005(), 257-279. https://doi.org/10.1155/DDNS.2005.257
- Rozali, S. M., Rahmat, M. F., & Husain, A. R. (2014). Performance Comparison of Particle Swarm Optimization and Gravitational Search Algorithm to the Designed of Controller for Nonlinear System. Journal of Applied Mathematics, 2014(), 440-448-641. https://doi.org/10.1155/2014/679435
- Umapathy, P., Venkataseshaiah, C., & Arumugam, M. S. (2010). Particle Swarm Optimization with Various Inertia Weight Variants for Optimal Power Flow Solution. Discrete Dynamics in Nature and Society, 2010(), 761-775. https://doi.org/10.1155/2010/462145
- 王品皓（2013）。Particle Swarm Optimization-based Impurity Function Band Prioritization Using Weighted Majority Voting for Feature Extraction of High Dimensional Data Sets〔碩士論文，國立臺北科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0006-3007201318421200
- 高春暉（2008）。Hybrid Particle Swarm Optimizers incorporating an Enhanced NM Simplex Search Method and their Applications in the Digital Redesign of Uncertain Interval Systems〔碩士論文，淡江大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0002-1107200814521800