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\title{Research on transmission line path planning model based on TFN-AHP and
ACO}



\author[1]{Bin Wang}%
\author[1]{Chunliang Hua}%
\author[1]{Haijun Luo}%
\author[1]{Bao Suo}%
\author[2]{Guohua Zu}%
\affil[1]{China Energy Engineering Group Gansu Electric Power Design Institute Co., Ltd}%
\affil[2]{Beijing Daoheng Software Co., Ltd}%


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  \date{April 25, 2026}


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\begin{abstract}
Transmission line planning is affected by a variety of geographic
information factors, and traditional path planning methods are difficult
to meet the future intelligent planning needs. In this paper, based on
the GIS platform for geographic information data processing, the
triangular fuzzy number analytic hierarchy pro-cess (TFN-AHP) is
utilized for weight analysis to construct the cost layer. Meanwhile,
guided mechanism, dimension-reducing mechanism, and avoidance mechanism
are proposed to improve the ant colony opti-mization (ACO) algorithm, to
shorten the planning time and improve the route planning effect.
Finally, a local area in Guizhou Province is selected for case study and
compared with the results of traditional ACO, and the results prove the
effectiveness of the transmission line planning model proposed in this
paper.%
\end{abstract}%



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\textbf{Hosted file}

\verb`manuscript-20240129.docx`  available at \url{https://authorea.com/users/808740/articles/1209137-research-on-transmission-line-path-planning-model-based-on-tfn-ahp-and-aco}

\textbf{Hosted file}

\verb`Author's Profile-20240126.docx`  available at \url{https://authorea.com/users/808740/articles/1209137-research-on-transmission-line-path-planning-model-based-on-tfn-ahp-and-aco}

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