中国科学院沈阳自动化研究所机构知识库
Advanced  
SIA OpenIR  > 光电信息技术研究室  > 期刊论文
题名:
析因-粒子群算法及其在海上运动目标搜寻中的应用
其他题名: Factorial-based Particle Swarm Optimization and Its Application to Maritime Moving Target Search
作者: 吕进锋; 赵怀慈
作者部门: 光电信息技术研究室
通讯作者: 赵怀慈
关键词: 析因 ; 粒子群 ; 群智能 ; 优化 ; 海上搜寻 ; 运动目标
刊名: 控制与决策
ISSN号: 1001-0920
出版日期: 2018
产权排序: 1
摘要: 针对粒子群算法在处理多峰复杂函数优化问题时容易陷入局部极值,难以满足海上运动目标搜寻问题的需要,提出一种基于析因思想的改进粒子群算法.该算法结合种群智能思想与析因实验设计思想,利用随机化及区组化策略,设计参数在不同水平的组合并得到相应的适应度值,获取各个参数的适应度曲线.分析各参数变化对适应度值的影响以及参数间的交互作用,基于此获取解空间形态.针对不同参数采用不同策略利用种群迭代寻找全局最优解,使种群针对交互作用明显的参数侧重于全局搜索,针对交互作用不明显的参数侧重于局部搜索.最后将该算法应用于海上运动目标搜寻问题.实验结果表明,相较其他几种对比算法,本文所提出的算法能够有效制定更优的搜寻计划.
英文摘要: When dealing with complex multimodal function optimization problems, particle swarm optimization (PSO) algorithm trends to trap in local extreme. Aiming at the problem that it is hard for PSO to meet the requirements of maritime moving target search, a factorial-based particle swarm optimization algorithm is presented. This algorithm combines swarm intelligence with factorial experiment design and employs the ideas of randomization and blocking. By designing multi combinations of parameters with different values and calculating the fitness value of each combination, the fitness curves of each parameter can be obtained. This algorithm analyzes the impact of each parameter on the fitness and the interaction between different parameters. Based on that, the shapes of solution spaces can be acquired, and the population can employ different strategies for different parameters to search for the global optima. For the parameters with significant interaction, the population will focus on global search. For the parameters with insignificant interaction, the population will focus on local search. Finally, this paper applies the proposed algorithm to solve maritime moving target search problems. The experimental results show that compared with other algorithms, the proposed algorithm can generate better search plans effectively.
语种: 中文
内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/21721
Appears in Collections:光电信息技术研究室_期刊论文

Files in This Item: Download All
File Name/ File Size Content Type Version Access License
析因_粒子群算法及其在海上运动目标搜寻中的应用.pdf(368KB)期刊论文作者接受稿开放获取View Download

作者单位: 1.中国科学院沈阳自动化研究所
2.中国科学院大学
3.中国科学院光电信息处理重点实验室
4.辽宁省图像理解与视觉计算重点实验室

Recommended Citation:
吕进锋,赵怀慈. 析因-粒子群算法及其在海上运动目标搜寻中的应用[J]. 控制与决策,2018.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[吕进锋]'s Articles
[赵怀慈]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[吕进锋]‘s Articles
[赵怀慈]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
文件名: 析因_粒子群算法及其在海上运动目标搜寻中的应用.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2018  中国科学院沈阳自动化研究所 - Feedback
Powered by CSpace