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Title: Use of improved gravitational search algorithm for 3D reconstruction of space curves using NURBS
Authors: Singh A.
Deep, K.
Bansal J.C.
Nagar A.
Ojha A.K.
Das K.N.
Deep K.
Published in: Proceedings of Advances in Intelligent Systems and Computing
Abstract: Gravitational Search Algorithm (GSA) is a memory-less, nature-inspired algorithm for nonlinear continuous optimization problems. In Singh et al. (a new Improved Gravitational Search Algorithm for function optimization using a novel “best-so-far†update mechanism. IEEE, pp. 35–39 (2015) [21]), Singh and Deep proposed an Improved GSA using best-so-far mechanism. In this paper, the problem of 3D reconstruction is modelled as a nonlinear optimization problem. GSA and Improved GSA are used to solve three reconstruction problems. Based on the several computational experiments and analysis, it is concluded that the performance of improved GSA is better than original GSA in terms of convergence and solution quality. © Springer Nature Singapore Pte Ltd. 2019.
Citation: Proceedings of Advances in Intelligent Systems and Computing, (2019), 185- 197
Issue Date: 2019
Publisher: Springer Verlag
Keywords: Continuous function optimization
Gravitational search algorithm
Heuristic technique
Heuristic methods
Image reconstruction
Learning algorithms
Nonlinear programming
Soft computing
Continuous function optimization
Continuous optimization problems
Gravitational search algorithm (GSA)
Gravitational search algorithms
Heuristic techniques
Nature inspired algorithms
Non-linear optimization problems
Problem solving
ISBN: 9.79E+12
ISSN: 21945357
Author Scopus IDs: 57211750941
Author Affiliations: Singh, A., Department of Mathematics, Janki Devi Memorial College, University of Delhi, New Delhi, 110060, India
Deep, K., Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttrakhand 247667, India
Corresponding Author: Singh, A.; Department of Mathematics, Janki Devi Memorial College, University of DelhiIndia; email:
Appears in Collections:Conference Publications [MA]

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