Technical Paper
Jan 28, 2016

First-Order Design of GPS Networks Using Particle Swarm Optimization

Publication: Journal of Surveying Engineering
Volume 142, Issue 3

Abstract

This paper discusses the optimization problem of first-order design (FOD) of global positioning system (GPS) networks. The classical least-squares technique was revised for the formulation of the objective function of FOD of geodetic networks. Furthermore, the efficacy of particle swarm optimization (PSO), an iterative heuristic global optimization technique influenced by group behavior of a social animal, was examined for solving the optimization problem of FOD of three example geodetic networks. It was observed that PSO efficiently provides an optimal solution with a high convergence rate.

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Acknowledgments

The authors are thankful to the anonymous reviewer for observations and valuable comments that improved the content of the manuscript.

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Go to Journal of Surveying Engineering
Journal of Surveying Engineering
Volume 142Issue 3August 2016

History

Received: Dec 7, 2014
Accepted: Dec 1, 2015
Published online: Jan 28, 2016
Discussion open until: Jun 28, 2016
Published in print: Aug 1, 2016

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Authors

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Vineet Singh
Postgraduate Student, Geographic Information System Cell, Motilal Nehru National Institute of Technology Allahabad, 211004 Uttar Pradesh, India.
Ramji Dwivedi [email protected]
Aff.M.ASCE
Assistant Professor, Geographic Information System Cell, Motilal Nehru National Institute of Technology Allahabad, 211004 Uttar Pradesh, India (corresponding author). E-mail: [email protected]
Onkar Dikshit
Professor, Dept. of Civil Engineering, Indian Institute of Technology Kanpur, 208016 Uttar Pradesh, India.
Ajai Kumar Singh
Professor, Geographic Information System Cell, Motilal Nehru National Institute of Technology Allahabad, 211004 Uttar Pradesh, India.

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