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A Simulated Annealing approach for solving Minimum Manhattan Network Problem
by
S. M. Ferdous,
Anindya Das
| 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