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A Simulated Annealing approach for solving Minimum Manhattan Network Problem

by S. M. Ferdous, Anindya Das
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 98 - Number 22
Year of Publication: 2014
Authors: S. M. Ferdous, Anindya Das
10.5120/17312-7654

S. M. Ferdous, Anindya Das . A Simulated Annealing approach for solving Minimum Manhattan Network Problem. International Journal of Computer Applications. 98, 22 ( July 2014), 1-6. DOI=10.5120/17312-7654

@article{ 10.5120/17312-7654,
author = { S. M. Ferdous, Anindya Das },
title = { A Simulated Annealing approach for solving Minimum Manhattan Network Problem },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 98 },
number = { 22 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume98/number22/17312-7654/ },
doi = { 10.5120/17312-7654 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:26:50.908272+05:30
%A S. M. Ferdous
%A Anindya Das
%T A Simulated Annealing approach for solving Minimum Manhattan Network Problem
%J International Journal of Computer Applications
%@ 0975-8887
%V 98
%N 22
%P 1-6
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper we address the Minimum Manhattan Network (MMN) problem. It is an important geometric problem with vast applications. As it is an NP-complete discrete combinatorial optimization problem we employ a simple metaheuristic namely Simulated Annealing. We have also developed benchmark datasets and tested our algorithm with the dataset.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Combinatorial Optimization Metaheuristics Simulated Annealing Network Length

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