Solving the Network Maze: Discovering the Optimal Heuristic Algorithms for Effectively Connecting Electrical Networks via a Single Path

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The approach introduced in this study is an innovative framework that merges heuristic methods and graph theory techniques to optimize network routing within a geographical region. It aims to efficiently connect all users in the network, offering near-optimal solutions. The model's effectiveness is demonstrated in finding good solutions for network routing through implementation in a random scenario. This approach is precious for planners and designers grappling with network routing challenges, providing an efficient and effective solution. With its potential to assist in the design process across diverse contexts, this model holds promise for facilitating network planning and enhancing the overall efficiency of network systems.

Original languageEnglish
Title of host publicationInternational Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350322972
DOIs
StatePublished - 2023
Event2023 International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2023 - Tenerife, Canary Islands, Spain
Duration: 19 Jul 202321 Jul 2023

Publication series

NameInternational Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2023

Conference

Conference2023 International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2023
Country/TerritorySpain
CityTenerife, Canary Islands
Period19/07/2321/07/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • algorithms
  • electrical networks
  • graph theory
  • heuristics
  • network planning
  • optimal routing

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