Improved algorithms for computing minmax regret sinks on dynamic path and tree networks-Reference-Cited by-同舟云学术

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Improved algorithms for computing minmax regret sinks on dynamic path and tree networks

Published:2015-11 Issue: Volume:607 Page:411-425
ISSN:0304-3975
Container-title:Theoretical Computer Science
language:en
Short-container-title:Theoretical Computer Science

Author:

Bhattacharya Binay,Kameda Tsunehiko

Funder

NSERC

Mitacs

Publisher

Elsevier BV

Subject

General Computer Science,Theoretical Computer Science

Reference18 articles.

1. Algorithms for the robust 1-center problem on a tree;Averbakh;European J. Oper. Res.,2000

2. Cardinality constrained facility location problems in trees;Benkoczi,2004

3. Faster algorithms for k-median problems in trees;Benkoczi,2003

4. Improved algorithms for computing minmax regret 1-sink and 2-sink on path network;Bhattacharya,2014

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Minmax regret 1-sink location problems on dynamic flow path networks with parametric weights;Journal of Combinatorial Optimization;2024-08-26

2. Minmax Centered k-Partitioning of Trees and Applications to Sink Evacuation with Dynamic Confluent Flows;Algorithmica;2022-12-29

3. Capacity provisioning for evacuation on path networks;Networks;2022-07-14

4. Minmax regret for sink location on dynamic flow paths with general capacities;Discrete Applied Mathematics;2022-07

5. Improved robust shortest paths by penalized investments;RAIRO - Operations Research;2021-05

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