标题
Imposing Contiguity Constraints in Political Districting Models
作者
关键词
-
出版物
OPERATIONS RESEARCH
Volume -, Issue -, Pages -
出版商
Institute for Operations Research and the Management Sciences (INFORMS)
发表日期
2021-12-29
DOI
10.1287/opre.2021.2141
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Combining NP-Hard Reduction Techniques and Strong Heuristics in an Exact Algorithm for the Maximum-Weight Connected Subgraph Problem
- (2019) Daniel Rehfeldt et al. SIAM JOURNAL ON OPTIMIZATION
- Simulated Annealing and Artificial Bee Colony for the Redistricting Process in Mexico
- (2019) Miguel Ángel Gutiérrez-Andrade et al. INTERFACES
- A Branch-and-Cut Algorithm for the Alternative Fuel Refueling Station Location Problem with Routing
- (2019) Okan Arslan et al. TRANSPORTATION SCIENCE
- A center-based modeling approach to solve the districting problem
- (2018) Yunfeng Kong et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Sampling from complicated and unknown distributions
- (2018) Wendy K. Tam Cho et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- Reduction techniques for the prize collecting Steiner tree problem and the maximum-weight connected subgraph problem
- (2018) Daniel Rehfeldt et al. NETWORKS
- A note on “A linear-size zero-one programming model for the minimum spanning tree problem in planar graphs”
- (2018) Hamidreza Validi et al. NETWORKS
- Response to Cho and Liu, “Sampling from complicated and unknown distributions: Monte Carlo and Markov chain Monte Carlo methods for redistricting”
- (2018) William T. Adler et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- The trade-off between the median and range of assigned demand in facility location models
- (2017) Mark S. Daskin et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- On imposing connectivity constraints in integer programs
- (2017) Yiming Wang et al. MATHEMATICAL PROGRAMMING
- PEAR: a massively parallel evolutionary computation approach for political redistricting optimization and analysis
- (2016) Yan Y. Liu et al. Swarm and Evolutionary Computation
- Gerrymandering for Justice: Redistricting U.S. Liver Allocation
- (2015) Sommer Gentry et al. INTERFACES
- BARD: Better Automated Redistricting
- (2015) Micah Altman et al. Journal of Statistical Software
- Upper and lower bounds for the sales force deployment problem with explicit contiguity constraints
- (2014) Knut Haase et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Efficient geo-graph contiguity and hole algorithms for geographic zoning and dynamic plane graph partitioning
- (2014) Douglas M. King et al. MATHEMATICAL PROGRAMMING
- An optimization algorithm for the minimum k-connected m-dominating set problem in wireless sensor networks
- (2014) Namsu Ahn et al. WIRELESS NETWORKS
- Political Districting: from classical models to recent approaches
- (2013) Federica Ricca et al. ANNALS OF OPERATIONS RESEARCH
- The Philadelphia Districting Contest: Designing Territories for City Council Based Upon the 2010 Census
- (2013) Ram Gopalan et al. INTERFACES
- Imposing Connectivity Constraints in Forest Planning Models
- (2013) Rodolfo Carvajal et al. OPERATIONS RESEARCH
- Geo-Graphs: An Efficient Model for Enforcing Contiguity and Hole Constraints in Planar Graph Partitioning
- (2012) Douglas M. King et al. OPERATIONS RESEARCH
- iRedistrict: Geovisual analytics for redistricting optimization
- (2011) Diansheng Guo et al. JOURNAL OF VISUAL LANGUAGES AND COMPUTING
- Maximum Flow in Directed Planar Graphs with Vertex Capacities
- (2010) Haim Kaplan et al. ALGORITHMICA
- Weighted Voronoi region algorithms for political districting
- (2008) Federica Ricca et al. MATHEMATICAL AND COMPUTER MODELLING
- Local search algorithms for political districting
- (2007) Federica Ricca et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started