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A Simulated Annealing approach for solving Minimum Manhattan Network Problem

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 98 - Number 22
Year of Publication: 2014
Authors:
S. M. Ferdous
Anindya Das
10.5120/17312-7654

S M Ferdous and Anindya Das. Article: A Simulated Annealing approach for solving Minimum Manhattan Network Problem. International Journal of Computer Applications 98(22):1-6, July 2014. Full text available. BibTeX

@article{key:article,
	author = {S. M. Ferdous and Anindya Das},
	title = {Article: A Simulated Annealing approach for solving Minimum Manhattan Network Problem},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {98},
	number = {22},
	pages = {1-6},
	month = {July},
	note = {Full text available}
}

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.

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