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ALGA在岸基导弹航路规划中的应用研究
引用本文:王光源,汲万峰,张非非,章尧卿,孙钧正.ALGA在岸基导弹航路规划中的应用研究[J].电光与控制,2012,19(5):1-6.
作者姓名:王光源  汲万峰  张非非  章尧卿  孙钧正
作者单位:海军航空工程学院,山东烟台,264001
基金项目:海军航空工程学院自然科学基金
摘    要:针对基本遗传算法(GA)易局部收敛的缺陷,设计了基于模式搜索的自学习算子,提出一种基于模式搜索的自学习遗传算法(ALGA)。通过仿真测试函数将ALGA与基本遗传算法、自适应遗传算法(AGA)进行比较,显示改进的ALGA提高了算法的综合搜索能力。将改进的ALGA运用到岸基导弹航路规划中,并进行仿真实验,仿真结果验证了改进算法的有效性。

关 键 词:航路规划  模式搜索  ALGA  遗传算法
收稿时间:2011/8/1

Application of ALGA in Path Planning of Shore-Based Missiles
WANG Guangyuan , JI Wanfeng , ZHANG Feifei , ZHANG Yaoqing , SUN Junzheng.Application of ALGA in Path Planning of Shore-Based Missiles[J].Electronics Optics & Control,2012,19(5):1-6.
Authors:WANG Guangyuan  JI Wanfeng  ZHANG Feifei  ZHANG Yaoqing  SUN Junzheng
Affiliation:(Naval Aeronautical and Astronautical University,Yantai 264001,China)
Abstract:The Genetic Algorithm(GA) has the shortcoming of easy to get into local convergence.To solve the problemwe designed a self learning operator based on pattern searchand proposed an improved Genetic algorithmActive Learning Genetic Algorithm (ALGA) with pattern search.Simulation test was made to compare ALGA with standard GA and Adaptive Genetic algorithm (AGA)and the result showed that ALGA can enhance the general search ability.The ALGA was used in the shore based missile's path planning and validated by simulation.
Keywords:path planning  pattern search  Active Learning Genetic Algorithm (ALGA)  genetic algorithm
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