期刊文献+

基于单亲遗传算法的飞行机组指派技术 被引量:3

Research on air-crew assignment based on partheno genetic algorithm
下载PDF
导出
摘要 航空公司机组人员指派是一个NP疑难问题.现在航空公司的排班工作存在着排班人员工作量大,排班过程效率低,值勤成本高,排班结果机组人员不满意等等的问题.为解决这些问题,采用单亲遗传算法,利用计算机技术,对机组人员进行合理的排班.通过与改进遗传算法进行比较,单亲遗传算法收敛速度更快,能够得到更合理的机组指派结果. There are many restricted terms, mass data, complicated operational process that need to be considered. At present, the crew assignment system is based on the manual way, the problems of heavy work burden, low working efficiency, high cost, discontented result will taken place. Based on the analysis of the cost and the desire of personnel, this paper provides partheno genetic algorithm to deal with airlines crew assignment problem. Compares with improved genetic algorithms, partheno genetic algorithm converges faster, and the result of crew scheduling is more reasonable.
作者 宋静波
出处 《哈尔滨商业大学学报(自然科学版)》 CAS 2009年第3期311-313,共3页 Journal of Harbin University of Commerce:Natural Sciences Edition
关键词 机组指派 机组排班 单亲遗传算法 改进遗传算法 crew assignment crew rostering partheno genetic algorithm improved genetic algorithms
  • 相关文献

参考文献4

  • 1BEASLEY J E,CAO B.A tree search algorithm for the crew scheduling problem[J].European Journal of Operational Research,1996,94(3):517-526.
  • 2ZEGHAL F M,MINOUX M.Modeling and solving a Crew Assignment Problem in air transportation[J].European Journal of Operational Research.2006,175(1):187-209.
  • 3刘汝正.基于遗传算法的最短路径的计算[J].微计算机信息,2007(05X):214-215. 被引量:6
  • 4MAOJUN LI,TIAOSHENG TONG.An improved Partheno-genetic algorithm for travelling salesman problem[C]//Proceedings of the 4th World Congress on Intelligent Control and Automation,[S.l.]:[s.n.],2002,4:3000-3004.

二级参考文献5

共引文献5

同被引文献21

  • 1胡纯德,祝延军,高随祥.一种求解旅行商问题的新型单亲遗传算法[J].计算机工程与应用,2004,40(35):37-40. 被引量:9
  • 2祝延军,胡纯德,高随祥.最短路由问题的改进单亲进化遗传算法[J].计算机工程与应用,2005,41(8):64-67. 被引量:6
  • 3祝延军,胡纯德,高随祥.单亲进化遗传算法在配送中心选址中的应用[J].计算机工程与设计,2005,26(3):580-582. 被引量:15
  • 4王红,张蕾.遗传算法在航空公司飞行人员排班中的应用研究[J].计算机工程与应用,2006,42(10):220-222. 被引量:9
  • 5COLONI A,DORIC,O M,MANIEZZO V.Ant system:optimiza-tion by a colony of cooperating agent[J].IEEE Trans on Sys-tem,Man and Cybernetics,part B:Cybernetics,1996,26(1):29-41.
  • 6DORIGO M,GAMBARDELLA L M.Ant colony system:a coop-erative learning approach to the taveiling salesman problem[J].IEEE Trans on Evolutionary Computation.1996,1(1):53-66.
  • 7STUTZLE T,HOOS H H.Max-Min ant system and local search for the traveling salesman pmbhm[C]//IEEE Int'l Conf on Evolutionary Computation,IndiaIlapolis,[s.n.],1997:309-314.
  • 8刘勇 康立山 等.非数值并行算法--遗传算法[M].北京:科学出版社,1998..
  • 9Guay E L, Desaulniers G, Sotunis F. Aircraft routing under different business process[J]. Journal of Air Transport Management, 2010, 16(5): 258-263.
  • 10Srinivas M. and Patnaik L. M. Adaptive probabilities of crossover and mutation in genetic algorithms[J]. IEEE Transactions on System, Man and Cybernetics, 1994, 24 (4): 656-667.

引证文献3

二级引证文献11

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部