• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

受限可视范围内多警卫路线问题的近似解

Approximate solution of the multiple watchman routes problem with restricted visibility range.

作者信息

Faigl Jan

机构信息

Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague 6, Czech Republic.

出版信息

IEEE Trans Neural Netw. 2010 Oct;21(10):1668-79. doi: 10.1109/TNN.2010.2070518. Epub 2010 Sep 9.

DOI:10.1109/TNN.2010.2070518
PMID:20837446
Abstract

In this paper, a new self-organizing map (SOM) based adaptation procedure is proposed to address the multiple watchman route problem with the restricted visibility range in the polygonal domain W. A watchman route is represented by a ring of connected neuron weights that evolves in W, while obstacles are considered by approximation of the shortest path. The adaptation procedure considers a coverage of W by the ring in order to attract nodes toward uncovered parts of W. The proposed procedure is experimentally verified in a set of environments and several visibility ranges. Performance of the procedure is compared with the decoupled approach based on solutions of the art gallery problem and the consecutive traveling salesman problem. The experimental results show the suitability of the proposed procedure based on relatively simple supporting geometrical structures, enabling application of the SOM principles to watchman route problems in W.

摘要

本文提出了一种基于新的自组织映射(SOM)的自适应程序,以解决多边形区域W中具有受限可视范围的多警卫路线问题。警卫路线由在W中演化的连接神经元权重环表示,而障碍物则通过最短路径近似来考虑。自适应程序考虑环对W的覆盖,以便将节点吸引到W的未覆盖部分。所提出的程序在一组环境和几个可视范围内进行了实验验证。该程序的性能与基于美术馆问题和连续旅行商问题解决方案的解耦方法进行了比较。实验结果表明,基于相对简单的支持几何结构,所提出的程序是适用的,这使得SOM原理能够应用于W中的警卫路线问题。

相似文献

1
Approximate solution of the multiple watchman routes problem with restricted visibility range.受限可视范围内多警卫路线问题的近似解
IEEE Trans Neural Netw. 2010 Oct;21(10):1668-79. doi: 10.1109/TNN.2010.2070518. Epub 2010 Sep 9.
2
An Application of Self-Organizing Map for Multirobot Multigoal Path Planning with Minmax Objective.自组织映射在具有极小极大目标的多机器人多目标路径规划中的应用
Comput Intell Neurosci. 2016;2016:2720630. doi: 10.1155/2016/2720630. Epub 2016 Jun 2.
3
An efficient approach to the travelling salesman problem using self-organizing maps.一种使用自组织映射解决旅行商问题的有效方法。
Int J Neural Syst. 2003 Apr;13(2):59-66. doi: 10.1142/S0129065703001443.
4
Flexible structure multiple modeling using irregular self-organizing maps neural network.使用不规则自组织映射神经网络的灵活结构多重建模
Int J Neural Syst. 2008 Jun;18(3):233-56. doi: 10.1142/S0129065708001555.
5
An efficient self-organizing map designed by genetic algorithms for the traveling salesman problem.一种由遗传算法设计的用于旅行商问题的高效自组织映射。
IEEE Trans Syst Man Cybern B Cybern. 2003;33(6):877-88. doi: 10.1109/TSMCB.2002.804367.
6
The simultaneous recurrent neural network for addressing the scaling problem in static optimization.用于解决静态优化中规模问题的同步递归神经网络。
Int J Neural Syst. 2001 Oct;11(5):477-87. doi: 10.1142/S012906570100062X.
7
A one-commodity pickup-and-delivery traveling salesman problem solved by a two-stage method: A sensor relocation application.一种由两阶段法求解的单物品取送货旅行商问题:传感器重新定位应用。
PLoS One. 2019 Apr 17;14(4):e0215107. doi: 10.1371/journal.pone.0215107. eCollection 2019.
8
SOM of SOMs.超级操作手册的超级操作手册。 (注:这里根据语境意译,原词可能并非常规英文表达,具体意思需结合更详细文本确定准确含义)
Neural Netw. 2009 May;22(4):463-78. doi: 10.1016/j.neunet.2009.01.012. Epub 2009 Feb 1.
9
The generalized quadratic knapsack problem. A neuronal network approach.广义二次背包问题。一种神经网络方法。
Neural Netw. 2006 May;19(4):416-28. doi: 10.1016/j.neunet.2005.10.008. Epub 2006 Feb 20.
10
Colored Traveling Salesman Problem.有色彩的旅行商问题。
IEEE Trans Cybern. 2015 Nov;45(11):2390-401. doi: 10.1109/TCYB.2014.2371918. Epub 2014 Dec 4.

引用本文的文献

1
An Application of Self-Organizing Map for Multirobot Multigoal Path Planning with Minmax Objective.自组织映射在具有极小极大目标的多机器人多目标路径规划中的应用
Comput Intell Neurosci. 2016;2016:2720630. doi: 10.1155/2016/2720630. Epub 2016 Jun 2.