找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Optimal Districting and Territory Design; Roger Z. Ríos-Mercado Book 2020 Springer Nature Switzerland AG 2020 Operations Research.Discrete

[复制链接]
查看: 32066|回复: 42
发表于 2025-3-21 17:05:12 | 显示全部楼层 |阅读模式
书目名称Optimal Districting and Territory Design
编辑Roger Z. Ríos-Mercado
视频video
概述First book to directly address districting and/or territory design problems.Highlights recent advances in the field of districting, territory design and zone design.Captures the diverse nature of dist
丛书名称International Series in Operations Research & Management Science
图书封面Titlebook: Optimal Districting and Territory Design;  Roger Z. Ríos-Mercado Book 2020 Springer Nature Switzerland AG 2020 Operations Research.Discrete
描述.This book highlights recent advances in the field of districting, territory design, and zone design. Districting problems deal essentially with tactical decisions, and involve mainly dividing a set of geographic units into clusters or territories subject to some planning requirements. This book presents models, theory, algorithms (exact or heuristic), and applications that would bring research on districting systems up-to-date and define the state-of-the-art.. Although papers have addressed real-world problems that require districting or territory division decisions, this is the first comprehensive book that directly addresses these problems. The chapters capture the diverse nature of districting applications, as the book is divided into three different areas of research. Part I covers recent up-to-date surveys on important areas of districting such as police districting, health care districting, and districting algorithms based on computational geometry.  Part II focuses on recent advances on theory, modeling, and algorithms including mathematical programming and heuristic approaches, and finally, Part III contains successful applications in real-world districting cases.
出版日期Book 2020
关键词Operations Research; Discrete Optimization; Districting; Zone Design; Territory Design; Location; Mathemat
版次1
doihttps://doi.org/10.1007/978-3-030-34312-5
isbn_softcover978-3-030-34314-9
isbn_ebook978-3-030-34312-5Series ISSN 0884-8289 Series E-ISSN 2214-7934
issn_series 0884-8289
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

书目名称Optimal Districting and Territory Design影响因子(影响力)




书目名称Optimal Districting and Territory Design影响因子(影响力)学科排名




书目名称Optimal Districting and Territory Design网络公开度




书目名称Optimal Districting and Territory Design网络公开度学科排名




书目名称Optimal Districting and Territory Design被引频次




书目名称Optimal Districting and Territory Design被引频次学科排名




书目名称Optimal Districting and Territory Design年度引用




书目名称Optimal Districting and Territory Design年度引用学科排名




书目名称Optimal Districting and Territory Design读者反馈




书目名称Optimal Districting and Territory Design读者反馈学科排名




单选投票, 共有 1 人参与投票
 

0票 0.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

1票 100.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-22 00:12:36 | 显示全部楼层
发表于 2025-3-22 03:02:01 | 显示全部楼层
发表于 2025-3-22 05:33:46 | 显示全部楼层
Territory Design for Sales Force Sizingce in a Mexican company. We also describe a simple heuristic for this problem and analyze its performance in two real cases from the company. Computational results show that the proposed heuristic produces high-quality solutions within a low computation time.
发表于 2025-3-22 11:09:59 | 显示全部楼层
Police Districting Problem: Literature Review and Annotated Bibliographyic review of the literature related to the police districting problem, whose history dates back to almost 50 years ago. Contributions are categorized in terms of attributes and solution methodology adopted. Also, an annotated bibliography that presents the most relevant elements of each research is given.
发表于 2025-3-22 15:35:27 | 显示全部楼层
发表于 2025-3-22 19:30:42 | 显示全部楼层
Bounding Procedures and Exact Solutions for a Class of Territory Design Problemse uses the relaxation of an integer quadratic programming formulation. The second methodology obtains feasible solutions using a primal heuristic within the framework of a subgradient optimization algorithm to solve a Lagrangian dual that also provides lower bounds for the optimal solution. Instance
发表于 2025-3-23 00:33:56 | 显示全部楼层
发表于 2025-3-23 05:16:52 | 显示全部楼层
发表于 2025-3-23 08:59:21 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-26 09:19
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表