- 期刊
Particle Swarm Optimization with Various Inertia Weight Variants for Optimal Power Flow Solution
被引用紀錄
曾漢源（2011）。多因子專案分群之最佳粒子群演算法實作軟體工作量預估〔碩士論文，大同大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0081-3001201315111043
延伸閱讀
- 黃郁授（2007）。A Study on Modified Particle Swarm Optimization by Adaptive Inertia Weight〔碩士論文，中原大學〕。華藝線上圖書館。https://doi.org/10.6840/cycu200700439
- Cao, X., Zhang, X., Sun, Y., & Kuai, Z. (2019). A Research of Simplified Particle Swarm Optimization Algorithm with Weight and Learning Factor. International Core Journal of Engineering, 5(12), 85-92. https://doi.org/10.6919/ICJE.201911_5(12).0012
- 趙家緯（2007）。Improved Particle Swarm Optimization for Optimal Power Flow Study〔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=U0006-1807200709132700
- Li, N. J. (2015). Weighted Particle Based Modified Particle Swarm Optimization and Its Applications [doctoral dissertation, National Central University]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0031-0412201512071910
- KAO, I. W. (2011). Particle Swarm Optimization with Selective Regeneration Mechanism for Continuous Problems [doctoral dissertation, Yuan Ze University]. Airiti Library. https://doi.org/10.6838/YZU.2011.00067