First-Order Design of GPS Networks Using Particle Swarm Optimization

被引：12

作者：

Singh, Vineet ^{[1
]}

Dwivedi, Ramji ^{[1
]}

Dikshit, Onkar ^{[2
]}

Singh, Ajai Kumar ^{[1
]}

机构：

[1] Motilal Nehru Natl Inst Technol, Geog Informat Syst Cell, Allahabad 211004, Uttar Pradesh, India

[2] Indian Inst Technol, Dept Civil Engn, Kanpur 208016, Uttar Pradesh, India

来源：

JOURNAL OF SURVEYING ENGINEERING | 2016年 / 142卷 / 03期

关键词：

Particle swarm optimization (PSO); First-order design (FOD); Geodetic networks; D-optimality; 2ND-ORDER DESIGN;

D O I：

10.1061/(ASCE)SU.1943-5428.0000176

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

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.

引用

页数：10

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