Date of Award

2019

Publication Type

Master Thesis

Degree Name

M.Sc.

Department

Great Lakes Institute for Environmental Research

First Advisor

Christopher Weisener

Second Advisor

Subba Rao Chaganti

Rights

info:eu-repo/semantics/openAccess

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Abstract

Within this context, the data follows the lognormal and power law distribution, and a TS-IDS algorithm has been proposed in the literature and demonstrated to outperform both the greedy and IDS algorithm. We have evaluated the performance of various greedy approaches to the set covering problem, including the TS-IDS, using open source dataset in the context of resource management. The data are sampled from a given roadmap with different coverage radius.

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