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基于遗传算法的飞行器多航迹规划
引用本文:田亮,吴金荣,孙富春.基于遗传算法的飞行器多航迹规划[J].计算机工程与应用,2006,42(31):216-218,225.
作者姓名:田亮  吴金荣  孙富春
作者单位:1. 河北师范大学,数学与信息科学学院,计算机系,石家庄,050016;清华大学,计算机科学与技术系,智能技术与系统国家重点实验室,北京,100084
2. 清华大学,计算机科学与技术系,智能技术与系统国家重点实验室,北京,100084
摘    要:提出了基于遗传算法的飞行器多航迹规划方法。该方法设计了一种新的分类评价体系,有效地解决了在约束条件多、部分约束条件互相冲突情况下的航迹评价问题。同时采用实数编码的染色体表示方法和特殊设计的进化算子,所有个体在各自子种群中同时进化。最后每个种群取一条最优航迹从而得到多条航迹。计算机仿真结果证明了该方法的有效性。

关 键 词:多航迹规划  分类  航迹评价  遗传算法  飞行器
文章编号:1002-8331(2006)31-0216-03
收稿时间:2006-01
修稿时间:2006-01

Multiple Routes Planning for Air Vehicle Based on Genetic Algorithm
TIAN Liang,WU Jin-rong,SUN Fu-chun.Multiple Routes Planning for Air Vehicle Based on Genetic Algorithm[J].Computer Engineering and Applications,2006,42(31):216-218,225.
Authors:TIAN Liang  WU Jin-rong  SUN Fu-chun
Affiliation:1.Department of Computer Science,College of Mathematics and Information Science, Hebei Normal University, Shijiazhuang 050016, China; 2.State Key Laboratory of Intelligent Technology and Systems,Department of Computer Science and Technology,Tsinghua University,Beijing 100084,China
Abstract:A new multiple routes planner for air vehicle based on Genetic Algorithm is proposed.The approach designs a new classifying-evaluation system,which efficiently solves the route evaluation in the case of various mission constraints,part of which conflict.Using a real-value representation of chromosome and specific operators,all routes evolve in their own sub-population at the same time.At the end of the evolution,each sub-population provides an optimal route,and thus algorithm generates multiple routes for the vehicle.The results of simulation demonstrate the feasibility of the approach.
Keywords:multiple routes planning  classifying  route evaluation  genetic algorithm  air vehicle
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