期刊文献+

舰艇编队防空火力分配问题的改进遗传算法 被引量:2

An Improved Genetic Algorithm on the Problem of Naval Fleet Antiaircraft Firepower Distribution
下载PDF
导出
摘要 在建立舰艇编队防空火力分配模型的基础上,设计了求解该问题的改进遗传算法.实验结果表明,该算法可以有效求得舰艇编队防空火力分配问题的最优解或近似最优解,是求解舰艇编队防空火力分配问题的一个较好的方案. Based on establishing the mathematics model on the problem of naval fleet antiaircraft firepower distribution, an improved genetic algorithm for this problem is proposed. An example is given and the result shows that the improved genetic algorithm can find the optimal or nearly optimal solution to the naval fleet antiaircraft firepower distribution problem effectively, which is a good method to solve this problem.
作者 季大琴
出处 《海军航空工程学院学报》 2007年第3期382-384,共3页 Journal of Naval Aeronautical and Astronautical University
关键词 舰艇编队 火力分配 遗传算法 交叉算子 naval fleet firepower distribution genetic algorithm crossover operator
分类号 E911 [军事]
  • 相关文献

参考文献3

二级参考文献15

  • 1陈根社,陈新海.遗传算法的研究与进展[J].信息与控制,1994,23(4):215-222. 被引量:108
  • 2郭耀煌,李军.车辆优化调度问题的研究现状评述[J].西南交通大学学报,1995,30(4):376-382. 被引量:51
  • 3席裕庚,柴天佑,恽为民.遗传算法综述[J].控制理论与应用,1996,13(6):697-708. 被引量:342
  • 4郭耀煌 李军.车辆优化调度[M].成都:成都科技大学出版社,1994..
  • 5周明.遗传算法原理及应用[M].北京:国防工业出版社,1997..
  • 6BERGER J, BARKAOUI M. A hybrid genetic algorithm for the capacitated vehicle routing problem [J]. In Cantú - Paz, E. ,ed.: GECCO03. LNCS 2723, Illinois, Chicago, USA, Springer- Verlag. 2003:646-656
  • 7CZECH Z J, CZAMAS P. Parallel simulated annealing for the vehicle routing problem with time windows [A]. 10th Euromicro Workshop on Parallel, Distributed and Network- based Processing, Canary Islands - Spain, 2002 (1) :376 -383
  • 8BRAYSY O, GENDREAU M. Tabu Search Heuristics for the Vehicle Routing Problem with Time Windows [J]. Internal Report STF42 A01022, SINTEF Applied Mathematics, Department of Optimization, Oslo, Norway. 2001
  • 9TIAN Y, SONG J, YAO D. Dynamic vehicle routing problem using hybrid ant system[A]. The Proceedings of the 2003 IEEE International conference on Intelligent Transportation Systems, 2003 (2): 970 - 974
  • 10姜大立,杨西龙,杜文,周贤伟.车辆路径问题的遗传算法研究[J].系统工程理论与实践,1999,19(6):40-45. 被引量:184

共引文献137

同被引文献8

引证文献2

二级引证文献4

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