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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/19130
Title: Ant colony optimization model for discrete tomography problems
Authors: Patel D.
Srivastava T.
Bansal J.C.
Pant M.
Deep K.
Nagar A.
Published in: Proceedings of Advances in Intelligent Systems and Computing
Abstract: Ant Colony Optimization (ACO) algorithms have been applied to get the solution of many hard discrete optimization problems. But ACO algorithms have not been applied to Discrete Tomography (DT) problems yet. In this paper, we propose a framework of ACO meta-heuristic for DT problems. Some variations in the framework have also been discussed. © Springer India 2014.
Citation: Proceedings of Advances in Intelligent Systems and Computing, (2014), 785- 792
URI: https://doi.org/10.1007/978-81-322-1771-8_68
http://repository.iitr.ac.in/handle/123456789/19130
Issue Date: 2014
Publisher: Springer Verlag
Keywords: Ant colony optimization
Convex binary matrices
Discrete tomography
Algorithms
Ant colony optimization
Artificial intelligence
Optimization
Soft computing
Tomography
ACO algorithms
Ant Colony Optimization algorithms
Binary matrix
Discrete optimization problems
Discrete tomography
Metaheuristic
Problem solving
ISBN: 9790000000000
ISSN: 21945357
Author Scopus IDs: 36237154900
36004997300
Author Affiliations: Patel, D., Department of Mathematics, IIT Roorkee, Roorkee, India
Srivastava, T., Department of Mathematics, IIT Roorkee, Roorkee, India
Corresponding Author: Patel, D.; Department of Mathematics, IIT RoorkeeIndia; email: divyshpatel@gmail.com
Appears in Collections:Conference Publications [MA]

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