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›› 2011, Vol. 28 ›› Issue (6): 746-751.DOI: 10.7523/j.issn.2095-6134.2011.6.007

• Research Articles • Previous Articles     Next Articles

Artificial immune algorithm for three-dimensional flight path planning under complex environment

LIU Li-Feng1,2, ZHANG Shu-Qing1   

  1. 1. Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130012, China;
    2. Graduate University, Chinese Academy of Sciences, Beijing 100049, China
  • Received:2010-08-03 Revised:2010-10-28 Online:2011-11-15

Abstract:

Artificial immune algorithm (AIA) was applied to plan three-dimensional flight tracks under complex terrain and firepower threat environment, which was done in the three cases of AIA. Meanwhile, the above-planned flight path was optimized based on mobility and seaworthiness of airplanes. Comparison of the results by AIA and by GA (genetic algorithm) indicates that under complex environment the three-dimensional flight path by AIA is not only feasible, but also has certain superiority in time.

Key words: artificial immune algorithm, genetic algorithm, 3D flight planning, complex environment

CLC Number: