Electronics Optics & Control, Volume. 24, Issue 1, 102(2017)

Optimal Search Path Planning for Airborne Magnetic Anomaly Detection Based on Genetic Algorithm

ZHANG Dan1...2, XIONG Xiong3 and SHI Guang4 |Show fewer author(s)
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • 4[in Chinese]
  • show less
    References(5)

    [1] [1] THOMAS A J.Tri-level optimization for anti-submarine warfare mission planning[D].Monterey:Naval Postgra-duate School, 2008.

    [4] [4] BROWN S S.Optimal search for a moving target in discrete space and time[J].Operations Research, 1980, 28(6):1275-1289.

    [8] [8] CHO J H, KIM J S, LIM J S.Optimal acoustic search path planning in realistic environments based on genetic algorithm[C]//Proceedings of MTS/IEEE Conference on Oce-ans, 2008:1-8.

    [10] [10] FORREST R N.A program to compute magnetic anomaly detection probabilities[D].Monterey:Naval Postgraduate School, 1990.

    [11] [11] GOLDBERG D E.Genetic algorithm in search, optimization and machine learning[M].New Jersey:Addison Wisely Publishing Company, 1989.

    Tools

    Get Citation

    Copy Citation Text

    ZHANG Dan, XIONG Xiong, SHI Guang. Optimal Search Path Planning for Airborne Magnetic Anomaly Detection Based on Genetic Algorithm[J]. Electronics Optics & Control, 2017, 24(1): 102

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Aug. 31, 2015

    Accepted: --

    Published Online: Feb. 9, 2017

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2017.01.023

    Topics