首页 | 本学科首页   官方微博 | 高级检索  
     

基于改进模拟退火算法的登机口分配问题
引用本文:谢维,关嘉欣,周游,朱文斌. 基于改进模拟退火算法的登机口分配问题[J]. 计算机系统应用, 2021, 30(5): 157-163. DOI: 10.15888/j.cnki.csa.007903
作者姓名:谢维  关嘉欣  周游  朱文斌
作者单位:华南理工大学 工商管理学院, 广州 510641
基金项目:国家自然科学基金(71601079, 71501075); 广东省自然科学基金杰出青年基金(2015A030306007); 中央高校基本科研业务费(2019ZD14, 2019ZD15)
摘    要:为研究新建卫星厅对中转旅客的航班衔接的影响,分析中转旅客的换乘紧张程度,提高机场资源利用效率,本文对登机口分配问题进行研究.在最小化登机口使用个数的前提下,考虑了中转旅客的换乘紧张度,建立了飞机-登机口分配0-1整数规划模型.为改善传统启发式算法的搜索能力,本文结合变邻域搜索的邻域构造思想,综合利用集束搜索和模拟退火算...

关 键 词:航班登机口分配  集束搜索  模拟退火  变邻域搜索  多目标规划
收稿时间:2020-09-01
修稿时间:2020-09-25

Gate Distribution Problem Based on Improved Simulated Annealing Algorithm
XIE Wei,GUAN Jia-Xin,ZHOU You,ZHU Wen-Bin. Gate Distribution Problem Based on Improved Simulated Annealing Algorithm[J]. Computer Systems& Applications, 2021, 30(5): 157-163. DOI: 10.15888/j.cnki.csa.007903
Authors:XIE Wei  GUAN Jia-Xin  ZHOU You  ZHU Wen-Bin
Affiliation:School of Business Administration, South China University of Technology, Guangzhou 510641, China
Abstract:In order to study the impact of the new satellite hall on the flight connection of transit passengers, analyze the transfer tension of transit passengers, and improve the utilization efficiency of airport resources, we investigate the distribution of boarding gates. On the premise of minimizing the number of boarding gates, considering the transfer tension of transit passengers, we establish a 0-1 integer programming model for aircraft-gate distribution. In order to improve the search ability of traditional heuristic algorithms, we propose an improved simulated annealing algorithm based on beam search by combining the neighborhood construction idea of variable neighborhood search and comprehensively employing the advantages of beam search and simulated annealing algorithm. Furthermore, the algorithm is solved by Java language. The results show that compared with the tabu search algorithm, variable neighborhood search algorithm, and ant colony algorithm, the proposed algorithm has better optimization effect.
Keywords:boarding gate distribution  beam search  simulated annealing  variable neighborhood search  multi-objective programming
本文献已被 万方数据 等数据库收录!
点击此处可从《计算机系统应用》浏览原始摘要信息
点击此处可从《计算机系统应用》下载全文
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