电讯技术2017，Vol.57Issue(6)：661-665,5.DOI:10.3969/j.issn.1001-893x.2017.06.008
改进萤火虫算法在Okumura-Hata模型修正中的应用
Application of Improved Firefly Algorithm in Okumura-Hata Model Updating
摘要
Abstract
To solve the problem that the Okumura-Hata model is not suitable for any area,a new approach for modifying Okumura-Hata model is proposed.The approach extracts Okumura-Hata model's parameters as the optimization variables with constraint conditions,and constructs fitness function using the root mean square error (RMSE) and the mean error (ME) between predicted values and measured values.Then,the new parameters of Okumura-Hata model will get after the model is optimized by Firefly algorithm.Besides,an improved Firefly algorithm based on "gene mutation" and "law of survival of the fittest" is proposed.The simulation results show that the RMSE of the updated model can approach the theoretical minimum limit 9.585 9 dB.Compared with the basic Firefly algorithm,the improved one has a stronger global searching ability and a faster convergence speed.关键词
电波传播/Okumura-Hata模型/萤火虫算法/模型修正/全局搜索能力Key words
electromagnetic wave propagation/Okumura-Hata model/firefly algorithm/model updating/global search ability分类
信息技术与安全科学引用本文复制引用
刘宝生,潘琳,李章义..改进萤火虫算法在Okumura-Hata模型修正中的应用[J].电讯技术,2017,57(6):661-665,5.基金项目
国家自然科学基金重点资助项目(61631015) （61631015）
