JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2015, Vol. 50 ›› Issue (03): 45-51.doi: 10.6040/j.issn.1671-9352.0.2014.018

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Fleet-assignment model and algorithm based on stochastic chance-constrained

GUAN Jing1, ZHANG Xiao-bin1, ZHANG Jin-feng2   

  1. 1. College of Science, Civil Aviation University of China, Tianjin 300300, China;
    2. College of Science, Tianjin Polytechnic Univercity, Tianjin 300387, China
  • Received:2014-01-09 Revised:2014-11-07 Online:2015-03-20 Published:2015-03-13

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Abstract: In order to meet the growing demand of passenger and protect the safety of civiation operation, the fleet assignment of airline should not only meet the requirements for aircraft periodic maintenance, but also provide suitable fleet to meet passenger demand. So random variables was introduced to construct a stochastic chance-constrained model, thus propose algorithm meet the requirements of the maintenance cycle. In the case studies, stochastic simulation with hybrid intelligent algorithm was applied to solve this problem. The results show that the stochastic chance-constrained model is more practical than the basic model and provides the optimization method with balance between efficiency and safety.

Key words: fleet-assignment, flights string, hybrid intelligent algorithm, stochastic chance-constrained, flight scheduling

CLC Number: 

  • F560.83
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