Journal Paper

Paper Information

video

sound

Persian Version

View:

1,273

Download:

0

Cites:

Information Journal Paper

Title

GEODETIC NETWORK DESIGN OPTIMIZATION USING GENETIC ALGORITHMS

Pages

  45-56

Abstract

 In this paper a novel non-parametric approach for designing GEODETIC NETWORKs based on  EVOLUTIONARY ALGORITHMs is proposed. Since conventional analytical OPTIMIZATION methods are based on gradient approaches, they have some drawbacks including approximate parameters requirement and inability to work with discrete objective functions and/or constraints e.g. visibility matter. To prevent from above problems, the standard GENETIC ALGORITHM method is utilized. Primary tests demonstrate the capability of proposed method to design the optimal network without approximate values and with visibility constraint satisfaction.    

Cites

  • No record.

    • References

  • No record.

    • Cite

    APA: Copy

    SAADAT SERESHT, M., ZOLFAGHARI, M., & SAMDZADEGAN, F.. (2005). GEODETIC NETWORK DESIGN OPTIMIZATION USING GENETIC ALGORITHMS. AMIRKABIR, 16(61-C), 45-56. SID. https://sid.ir/paper/753/en

    Vancouver: Copy

    SAADAT SERESHT M., ZOLFAGHARI M., SAMDZADEGAN F.. GEODETIC NETWORK DESIGN OPTIMIZATION USING GENETIC ALGORITHMS. AMIRKABIR[Internet]. 2005;16(61-C):45-56. Available from: https://sid.ir/paper/753/en

    IEEE: Copy

    M. SAADAT SERESHT, M. ZOLFAGHARI, and F. SAMDZADEGAN, “GEODETIC NETWORK DESIGN OPTIMIZATION USING GENETIC ALGORITHMS,” AMIRKABIR, vol. 16, no. 61-C, pp. 45–56, 2005, [Online]. Available: https://sid.ir/paper/753/en

    Related Journal Papers

    Related Seminar Papers

  • No record.

    • Related Plans

  • No record.

    • Recommended Workshops






    مرکز اطلاعات علمی SID
    دانشگاه غیر انتفاعی مهر اروند
    ویراستاری
    File Not Exists.
    )