Day 2, April 15 - Posters
Parallel computing techniques for the multi-objective set cover problem
Start Date
15-4-2020 1:00 PM
End Date
15-4-2020 3:00 PM
Publisher
University of Tennessee at Chattanooga
Place of Publication
Chattanooga (Tenn.)
Abstract
The multi-objective set covering problem is a classical problem that appears in a number of real-world applications. In combination with a novel approximation algorithm, we compare several parallel methods for finding the optimal solution.
Date
April 2020
Document Type
posters
Language
English
Rights
http://rightsstatement.org/vocab/InC/1.0/
Recommended Citation
Marshall, Ryan; Weerasena, Lakmali; and Skjellum, Tony, "Parallel computing techniques for the multi-objective set cover problem". ReSEARCH Dialogues Conference proceedings. https://scholar.utc.edu/research-dialogues/2020/day2_posters/97.
Parallel computing techniques for the multi-objective set cover problem
The multi-objective set covering problem is a classical problem that appears in a number of real-world applications. In combination with a novel approximation algorithm, we compare several parallel methods for finding the optimal solution.