- 期刊
Application of Hardware Architecture of Genetic Algorithm for Optimal Packet Scheduling
並列摘要
In Dense Wavelength Division Multiplexing (DWDM) technologies, the optimal packet scheduling issue is commonly encountered in multiple channel networks. NP-hard problems deal with finding a way to rearrange packets from multiple channels into a finite and rare channel. Genetic Algorithm (GA) is one of the most efficient ways to solve these issues. We hope to find a better solution to our task through the GA characteristics of multiprocessor searching and survival of the fittest. Therefore, a modified and achievable hardware architecture of GA is presented in this paper. This architecture can increase both the speed of packet scheduling and the efficiency of DWDM in Optical Communication Networks.
被引用紀錄
Tseng, H. W. (2010). 前瞻無線寬頻系統之效能評估及研析 [doctoral dissertation, Tamkang University]. Airiti Library. https://doi.org/10.6846/TKU.2010.00588
Chou, Y. H. (2009). 基因演算加速器硬體實現及其在通訊與高速電路板之優化應用 [doctoral dissertation, Tamkang University]. Airiti Library. https://doi.org/10.6846/TKU.2009.01187
黃聖博（2009）。第四代行動通訊系統之資料流量排程與效能分析〔碩士論文，淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2009.00480