Evolutionary computation plus dynamic programming for the bi-objective travelling thief problem

Wu, Junhua, Wagner, Markus, Polyakovskiy, Sergey and Neumann, Frank 2018, Evolutionary computation plus dynamic programming for the bi-objective travelling thief problem, in GECCO 2018 : Proceedings of the 2018 Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, N.Y., pp. 777-784, doi: 10.1145/3205455.3205488.

Attached Files
Name Description MIMEType Size Downloads

Title Evolutionary computation plus dynamic programming for the bi-objective travelling thief problem
Author(s) Wu, Junhua
Wagner, Markus
Polyakovskiy, SergeyORCID iD for Polyakovskiy, Sergey orcid.org/0000-0001-9489-1972
Neumann, Frank
Conference name Special Interest Group on Genetic and Evolutionary Computation. Conference (2018 : Kyoto, Japan)
Conference location Kyoto, Japan
Conference dates 2018/07/15 - 2018/07/19
Title of proceedings GECCO 2018 : Proceedings of the 2018 Genetic and Evolutionary Computation Conference
Editor(s) Aguirre, Hernan
Publication date 2018
Series Special Interest Group on Genetic and Evolutionary Computation Conference
Start page 777
End page 784
Total pages 8
Publisher Association for Computing Machinery
Place of publication New York, N.Y.
Keyword(s) Bi-objective optimisation
Genetic algorithms
Dynamic programming
Travelling thief problem
Multi-component problem
Hybrid approach
ISBN 9781450356183
Language eng
DOI 10.1145/3205455.3205488
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2018, Association for Computing Machinery
Persistent URL http://hdl.handle.net/10536/DRO/DU:30112243

Document type: Conference Paper
Collection: School of Information Technology
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 11 Abstract Views, 6 File Downloads  -  Detailed Statistics
Created: Tue, 26 Mar 2019, 10:44:16 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.