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基于单亲遗传算法求解卫勤保障最短回路问题
引用本文:蒋兴波,许开云,刘晓荣.基于单亲遗传算法求解卫勤保障最短回路问题[J].第二军医大学学报,2010,31(1):74-79.
作者姓名:蒋兴波  许开云  刘晓荣
作者单位:1. 第二军医大学卫生勤务学系卫生勤务学教研室,上海,200433
2. 第二军医大学长海医院急诊科,上海,200433
基金项目:全军“十一五”科技攻关课题(08G078)~~
摘    要:目的提出一种用于求解卫勤保障最短回路问题的有效算法。方法采用仅使用变异算子和选择算子来繁殖后代的单亲遗传算法(PGA)。该算法基于K-随机近邻算法,同时结合了随机两点位置互换、相邻两点位置互换、环形部分逆转、随机插入等4种变异算子,在选择操作过程中结合贪心策略,进一步提高PGA算法的爬山能力。结果通过对CTSP31以及多组TSP标准数据集的测试结果表明,该算法相对于文献中已有算法更加有效。结论该算法可作为今后开发计算机辅助软件的基础,为提高卫勤指挥的质量和速度而提供辅助优化决策。

关 键 词:卫勤保障最短路径问题  旅行商问题  单亲遗传算法  K-随机近邻算法  
收稿时间:7/1/2009 12:00:00 AM
修稿时间:2009/11/20 0:00:00

Solving shortest circuit problem of military health support based on partheno-genetic algorithm
JIANG Xing-bo,XU Kai-yun,LIU Xiao-rong.Solving shortest circuit problem of military health support based on partheno-genetic algorithm[J].Academic Journal of Second Military Medical University,2010,31(1):74-79.
Authors:JIANG Xing-bo  XU Kai-yun  LIU Xiao-rong
Institution:JIANG Xing -bo1,XU Kai -yun2,LIU Xiao -rong1 1. Department of Military Health Service,Faculty of Health Services,Second Military Medical University,Shanghai 200433,China 2. Department of Emergency Medicine,Changhai Hospital,China
Abstract:Objective To propose an effective algorithm for solving the shortest circuit problem of military health support. Methods Partheno-genetic algorithm ( PGA) ,which only used mutation operation and selection operation,was adopted in the present study. The algorithm was based on K-random-nearer-neighbor algorithm combined with two-random-point exchange,two-neighbor -point exchange,circular-based part inversion and random insertion mutation operations. Furthermore,greedy strategy was applied in selection to impr...
Keywords:the shortest circuit problem of health support  traveling salesman problem  partheno genetic algorithm  K-random-nearer-neighbor algorithm  
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