ABSTRACT
Minimum Spanning Tree is one of spanning tree optimization
problems having several applications in network design. This study uses greedy
and genetic algorithms approaches to solve minimum spanning tree problem of a
water supply network system of Michael Okpara University of Agriculture,
Urnudike. The algorithm reads both the connection and weight (distance)
matrices of a given network, and then searches the minimum spanning path that
optimizes the overall distance rooted at a given node. Computational experiment
results show that the algorithms gave similar results. The optimal distance
obtained was 5151.9 m. The genetic algorithm got to the optimal at the 23
iterations (generations).
IME, A (2021). Distributed Network Optimization Of A Water Supply System, Using Greedy And Genetic Algorithms; A Comparative Analysis. Mouau.afribary.org: Retrieved Dec 23, 2024, from https://repository.mouau.edu.ng/work/view/distributed-network-optimization-of-a-water-supply-system-using-greedy-and-genetic-algorithms-a-comparative-analysis-7-2
ANTHONY, IME. "Distributed Network Optimization Of A Water Supply System, Using Greedy And Genetic Algorithms; A Comparative Analysis" Mouau.afribary.org. Mouau.afribary.org, 19 Nov. 2021, https://repository.mouau.edu.ng/work/view/distributed-network-optimization-of-a-water-supply-system-using-greedy-and-genetic-algorithms-a-comparative-analysis-7-2. Accessed 23 Dec. 2024.
ANTHONY, IME. "Distributed Network Optimization Of A Water Supply System, Using Greedy And Genetic Algorithms; A Comparative Analysis". Mouau.afribary.org, Mouau.afribary.org, 19 Nov. 2021. Web. 23 Dec. 2024. < https://repository.mouau.edu.ng/work/view/distributed-network-optimization-of-a-water-supply-system-using-greedy-and-genetic-algorithms-a-comparative-analysis-7-2 >.
ANTHONY, IME. "Distributed Network Optimization Of A Water Supply System, Using Greedy And Genetic Algorithms; A Comparative Analysis" Mouau.afribary.org (2021). Accessed 23 Dec. 2024. https://repository.mouau.edu.ng/work/view/distributed-network-optimization-of-a-water-supply-system-using-greedy-and-genetic-algorithms-a-comparative-analysis-7-2