首页|期刊简介|投稿指南|分类索引|刊文选读|订阅指南|资料|样刊邮寄查询|常见问题解答|联系我们
李斌,谷宏强. 遗传模拟退火算法在初始对准中的应用仿真[J]. 科学技术与工程, 2007, (24): 6475-6478.
.Simulation of Genetic Simulated Annealing Algorithm in Initial Alignment[J].Science Technology and Engineering,2007,(24):6475-6478.
遗传模拟退火算法在初始对准中的应用仿真
Simulation of Genetic Simulated Annealing Algorithm in Initial Alignment
投稿时间:2007-09-05  修订日期:2007-09-05
DOI:
中文关键词:  惯性制导,初始对准,遗传算法,模拟退火
英文关键词:inertial guidance initial alignment genetic algorithm simulated annealing
基金项目:
作者单位
摘要点击次数: 965
全文下载次数: 185
中文摘要:
      捷联惯导系统粗对准结束后,可以用遗传算法来搜索三个误差角,且由于遗传算法的全局寻优能力,在速度上具有很大优势。但遗传算法的局部寻优能力不足,因此得到的结果在精度上也受到了限制。模拟退火算法容易陷入局部最优解,但是具有很强的微调能力。因此,将遗传算法和模拟退火算法结合起来,能很好地解决初始对准的速度和精度的问题。仿真结果证明遗传模拟退火算法可以很好地改善单一遗传算法的局部寻优能力,使得结果精度更高。
英文摘要:
      Genetic algorithm could be used to search for error angles of the strapdown inertial guidance system after coarse alignment is completed, for there is great superiority in speed because of its global searching ability. But there are also limitations in local searching ability of the algorithm, so as for the precision of searching results. Simulated annealing tends to be trapped in local optima, but it also possess powerful fine adjustment ability. So the combination of genetic algorithm and simulated annealing could be sufficient to initial alignment for speed and precision. Simulations showed that genetic simulated annealing algorithm could greatly improve local searching ability of the genetic algorithm, and could get results which are better in precision.
查看全文  查看/发表评论  下载PDF阅读器
关闭
你是第33033041位访问者
版权所有:科学技术与工程编辑部
主管:中国科学技术协会    主办:中国技术经济学会
Tel:(010)62118920 E-mail:stae@vip.163.com
京ICP备05035734号-4
技术支持:本系统由北京勤云科技发展有限公司设计

京公网安备 11010802029091号