MIXTURE-ORDER DESIGN OF GPS NETWORKS BASED ON GENETIC ALGORITHMS
Sobeih, M., Doma, M., El Shoney, A. (2010). MIXTURE-ORDER DESIGN OF GPS NETWORKS BASED ON GENETIC ALGORITHMS. EKB Journal Management System, 33(4), 431-439. doi: 10.21608/erjm.2010.67343
M. F. Sobeih; M. I. Doma; A. F. El Shoney. "MIXTURE-ORDER DESIGN OF GPS NETWORKS BASED ON GENETIC ALGORITHMS". EKB Journal Management System, 33, 4, 2010, 431-439. doi: 10.21608/erjm.2010.67343
Sobeih, M., Doma, M., El Shoney, A. (2010). 'MIXTURE-ORDER DESIGN OF GPS NETWORKS BASED ON GENETIC ALGORITHMS', EKB Journal Management System, 33(4), pp. 431-439. doi: 10.21608/erjm.2010.67343
Sobeih, M., Doma, M., El Shoney, A. MIXTURE-ORDER DESIGN OF GPS NETWORKS BASED ON GENETIC ALGORITHMS. EKB Journal Management System, 2010; 33(4): 431-439. doi: 10.21608/erjm.2010.67343

MIXTURE-ORDER DESIGN OF GPS NETWORKS BASED ON GENETIC ALGORITHMS

ERJ. Engineering Research Journal
Article 11, Volume 33, Issue 4, October 2010, Page 431-439  XML PDF (633.74 K)
Document Type: Original Article
DOI: 10.21608/erjm.2010.67343
View on SCiNiTO View on SCiNiTO
Authors
M. F. Sobeih1; M. I. Doma1; A. F. El Shoney2
1Civil Engineering Departement, Faculty of Engineering, Minufiya University ,Egypt
2Survey Research Institute , National Water Research Center, Ministry of Irrigation, Egypt
Abstract
Today, most geodetic networks are being measured by differential Global Positioning System (GPS). Nevertheless, producing optimal baseline configuration and optimal baseline weights "Mixture-Order Design" in designing stage are necessary pre-requisites for an accurate geodetic GPS network. In this paper, a very efficient method based on the concept of the genetic algorithms metaheuristic technique is developed for providing an efficient solution for Mixture-Order Design problem. In the present study, the proposed optimization modeling is applied only to determine which of the baselines could be deleted while adhering to the prescribed precision of the network, which may result in significant savings on the cost of the project.
Keywords
GPS Networks; Genetic Algorithms; Mixture-Order Design Problem; Optimization
Statistics
Article View: 144
PDF Download: 233