首页 | 本学科首页   官方微博 | 高级检索  
     

基于基因表达式编程的终端区飞机优化排序模型设计
引用本文:牟丽莎,王冬磊,彭莉娟. 基于基因表达式编程的终端区飞机优化排序模型设计[J]. 西南科技大学学报, 2011, 26(3): 72-77
作者姓名:牟丽莎  王冬磊  彭莉娟
作者单位:1. 四川工程职业技术学院计算机科学技术系,四川德阳,618000
2. 四川大学计算机学院,四川成都,610065
3. 西南科技大学计算机学院,四川绵阳,621000
摘    要:终端区飞机排序是空中交通流量管制部门关注的热点问题,通过研究基因表达式编程在终端区飞机排序中的应用,设计了可回溯基因表达式编程的优化排序算法。该算法在染色体进化时使用改进的操作算子——最大区间约束倒置操作符,解决进化中出现的无效解和无用解问题;在种群繁衍时采用了回溯进化技术,为较优种群更好地保存,对回溯栈的操作改进为不...

关 键 词:基因表达式  最大区间约束  回溯进化  飞机排序

Design of Aircraft Sequencing Optimization Model in Terminal Area Based on GEP
MOU Li-sha,WANG Dong-lei,PENG Li-juan. Design of Aircraft Sequencing Optimization Model in Terminal Area Based on GEP[J]. Journal of Southwest University of Science and Technology, 2011, 26(3): 72-77
Authors:MOU Li-sha  WANG Dong-lei  PENG Li-juan
Affiliation:MOU Li-sha1,WANG Dong-lei2,PENG Li-juan3 (1.Department of Computer,Sichuan Engineering Technical College,Deyang 618000,Sichuan,China,2.School of Computer Science,Sichuan University,Chengdu 610065,3.School of Computer Science,Southwest University of Science and Technology,Mianyang 621010,China)
Abstract:The aircrafts landing sequence in the terminal area is a hot issue in the Air Traffic Flow Management. It is desirable to apply Gene Expression Programming (GEP) to sort aircrafts landing sequence problem. The main contributions include: designing an Aircraft Sequencing Optimization algorithm in terminal area based on the back-tracking GEP, which adopts an improved Operator Max Section Restric- tion Inversion operators in the chromosome evolution process, modifying the back-tracking operation so that variables are push into Stack at any time and pop from Stack at fix time to preserve the better population. The experimental study shows that the algorithm based on GEP is better than FCFS, and it can avoid the gene evolution process from prematurity. As a result, it is confirmed to be close to the global optimum.
Keywords:GEP  Max Section Restriction  Inversion operators  Aircrafts landing sequence
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号