Lagrangian Relaxation Techniques for Scalable Spatial Conservation Planning

Lagrangian Relaxation Techniques for Scalable Spatial Conservation Planning

We address the problem of spatial conservation planning in which the goal is to maximize the expected spread of cascades of an endangered species by strategically purchasing land parcels within a given budget. This problem can be solved by standard integer programming methods using the sample averag...

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Bibliographic Details
Main Authors: KUMAR, Akshat, WU, Xiaojian, ZILBERSTEIN, Shlomo
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2012
Subjects:
Artificial Intelligence and Robotics
Computer Sciences
Online Access:https://ink.library.smu.edu.sg/sis_research/2202
https://ink.library.smu.edu.sg/context/sis_research/article/3202/viewcontent/Lagrangian_Relaxation_Techniques_for_Scalable_Spatial.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/2202
https://ink.library.smu.edu.sg/context/sis_research/article/3202/viewcontent/Lagrangian_Relaxation_Techniques_for_Scalable_Spatial.pdf

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