A Metaheuristic Algorithm for the Steiner Tree Problem in Graphs toward Optimizations for Wireless Sensor Networks

Kỷ yếu Nghiên cứu khoa học của sinh viên Trường Đại học Công nghệ Thông tin và Truyền thông Việt - Hàn năm học 2023-2024; trang 2-9.

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主要な著者: Le, Tang Phu Quy, Ho, Sy Bao Nhan, Hoang, Tan Phu Quoc
その他の著者: Dang, Dai Tho
フォーマット: Bài viết
言語:English
出版事項: Vietnam-Korea University of Information and Communication Technology 2024
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オンライン・アクセス:https://elib.vku.udn.vn/handle/123456789/3823
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Thư viện lưu trữ: Trường Đại học Công nghệ Thông tin và Truyền thông Việt Hàn - Đại học Đà Nẵng
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spelling oai:elib.vku.udn.vn:123456789-38232024-06-17T03:46:16Z A Metaheuristic Algorithm for the Steiner Tree Problem in Graphs toward Optimizations for Wireless Sensor Networks Nghiên cứu phát triển thuật toán metaheuristic giải bài toán cây Steiner nhỏ nhất định hướng ứng dụng trong mạng truyền thông Le, Tang Phu Quy Ho, Sy Bao Nhan Hoang, Tan Phu Quoc Dang, Dai Tho Steiner tree problem Metaheuristic algorithm Genetic algorithm Hybrid genetic algorithm Wireless sensor networks Kỷ yếu Nghiên cứu khoa học của sinh viên Trường Đại học Công nghệ Thông tin và Truyền thông Việt - Hàn năm học 2023-2024; trang 2-9. The Steiner tree problem in graphs (SPG) is one of the most studied problems in combinatorial optimization because of its theories and applications. It is one of th foundations to develop Wireless Sensor Networks (WSNs), such as multicast and topology design. SPG is an NP-Hard problem, and many heuristic and approximation algorithms have been proposed. Thus, this study proposes a Hybrid Genetic algorithm (HGA) to solve SPG. This study is the binary string representation for a set of chosen edges. To increase the diversity of the population and avoid falling into local optimization, we use a 2-longest Distance strategy, dynamic crossover rate, and chosen solutions must differ by at least 5%. The experiment results show that the HGA algorithm's running time equals 153,83% of the GA algorithm's, the deviation found by HGA, and the optimal distance only equals 65% that of GA. A graph visualization software for SPG toward optimizations for WSNs is developed. 2024-06-17T03:46:10Z 2024-06-17T03:46:10Z 2024-06 Working Paper https://elib.vku.udn.vn/handle/123456789/3823 en NCKHSV; application/pdf Vietnam-Korea University of Information and Communication Technology
institution Trường Đại học Công nghệ Thông tin và Truyền thông Việt Hàn - Đại học Đà Nẵng
collection DSpace
language English
topic Steiner tree problem
Metaheuristic algorithm
Genetic algorithm
Hybrid genetic algorithm
Wireless sensor networks
spellingShingle Steiner tree problem
Metaheuristic algorithm
Genetic algorithm
Hybrid genetic algorithm
Wireless sensor networks
Le, Tang Phu Quy
Ho, Sy Bao Nhan
Hoang, Tan Phu Quoc
A Metaheuristic Algorithm for the Steiner Tree Problem in Graphs toward Optimizations for Wireless Sensor Networks
description Kỷ yếu Nghiên cứu khoa học của sinh viên Trường Đại học Công nghệ Thông tin và Truyền thông Việt - Hàn năm học 2023-2024; trang 2-9.
author2 Dang, Dai Tho
author_facet Dang, Dai Tho
Le, Tang Phu Quy
Ho, Sy Bao Nhan
Hoang, Tan Phu Quoc
format Working Paper
author Le, Tang Phu Quy
Ho, Sy Bao Nhan
Hoang, Tan Phu Quoc
author_sort Le, Tang Phu Quy
title A Metaheuristic Algorithm for the Steiner Tree Problem in Graphs toward Optimizations for Wireless Sensor Networks
title_short A Metaheuristic Algorithm for the Steiner Tree Problem in Graphs toward Optimizations for Wireless Sensor Networks
title_full A Metaheuristic Algorithm for the Steiner Tree Problem in Graphs toward Optimizations for Wireless Sensor Networks
title_fullStr A Metaheuristic Algorithm for the Steiner Tree Problem in Graphs toward Optimizations for Wireless Sensor Networks
title_full_unstemmed A Metaheuristic Algorithm for the Steiner Tree Problem in Graphs toward Optimizations for Wireless Sensor Networks
title_sort metaheuristic algorithm for the steiner tree problem in graphs toward optimizations for wireless sensor networks
publisher Vietnam-Korea University of Information and Communication Technology
publishDate 2024
url https://elib.vku.udn.vn/handle/123456789/3823
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