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Optimizing telecommunication network length using genetic algorithm

Mustapa, Mohd Bruce Lee (2023) Optimizing telecommunication network length using genetic algorithm. Project Report. Melaka, Malaysia, Universiti Teknikal Malaysia Melaka. (Submitted)

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Abstract

The length of a telecommunication network significantly impacts project costs, as longer network cables increase expenses and subsequently affect user service fees. To address this issue, the project aimed to find the optimal network length by formulating it into Minimum Spanning Tree problem. The problem is solved using Genetic Algorithm where it incorporates steps like mutation, crossover, and good selection to influence the final result. The output from the algorithm provide most minimum spanning tree as a shortest path to connect all the DP. This project effectively assist related organisation in planning telecommunication network made the project more efficient and save more cost.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Genetic algorithm, Telecommunication, Network, Minimum spanning tree, Optimization
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Library > Final Year Project > FTMK
Depositing User: Norfaradilla Idayu Ab. Ghafar
Date Deposited: 03 Apr 2024 07:42
Last Modified: 03 Apr 2024 07:42
URI: http://digitalcollection.utem.edu.my/id/eprint/31366

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