GA-PSO.

Sheeraz Ali Memon1, Darius Andriukaitis1, Dangirutis Navikas1

  • 1Department of Electronics Engineering, Faculty of Electrical and Electronics Engineering, Kaunas University of Technology, Studentu g. 50-438, LT-51368 Kaunas, Lithuania.

PubMed
概括

本研究介绍了一种混合优化算法,将遗传算法 (GA) 和粒子群优化 (PSO) 结合起来,以在智能城市网络中高效地放置控制器. 混合方法显著提高了网络性能,负载平衡和冗余性.

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