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Please use this identifier to cite or link to this item: http://hdl.handle.net/11667/127
Appears in Collections:University of Stirling Research Data
Title: Rigorous Performance Analysis of State-of-the-art TSP Heuristic Solvers
Creator(s): McMenemy, Paul
Veerapen, Nadarajen
Adair, Jason
Ochoa, Gabriela
Contact Email: paul.mcmenemy@stir.ac.uk
Keywords: Travelling Salemsman Problem
Algorithm Selection
Performance Analysis
EAX
GPX
Date Available: 22-Jan-2019
Citation: McMenemy, P; Veerapen, N; Adair, J; Ochoa, G (2019): Rigorous Performance Analysis of State-of-the-art TSP Heuristic Solvers. University of Stirling. Faculty of Natural Sciences. Dataset. http://hdl.handle.net/11667/127
Publisher: University of Stirling. Faculty of Natural Sciences
Dataset Description (Abstract): The dataset contains all symmetric TSP instances, performance results and features sets for "Rigorous Performance Analysis of State-of-the-art TSP Heuristic Solvers", P. McMenemy, N. Veerapen, J. Adair, G. Ochoa. The 18th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP 2018), 24 - 26 April 2019, Leipzig, Germany. The dataset contains .tsp format files for all 1893 instances used in the study, as well as the performance data for each TSP instance for the 3 TSP heuristics analysed. Full details are given in the README.txt file.
Dataset Description (TOC): The dataset contains all symmetric TSP instances, performance results and features sets for "Rigorous Performance Analysis of State-of-the-art TSP Heuristic Solvers", P. McMenemy, N. Veerapen, J. Adair, G. Ochoa. The 18th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP 2018), 24 - 26 April 2019, Leipzig, Germany. The dataset contains tsp format files for all 1893 instances used in the study, as well as the performance data for each TSP instance for the 3 TSP heuristics analysed. Full TOC details are given in the README.txt file.
Type: dataset
Contract/Grant Title: DAASE: Dynamic Adaptive Automated Software Engineering
The Cartography of Computational Search Spaces
Funder(s): EPSRC - Engineering and Physical Sciences Research Council
Leverhulme Trust
Contract/Grant Number: RPG-2015-395
EP/J017515/1
Worktribe Project ID: 415580
418227
URI: http://hdl.handle.net/11667/127
Rights: Rights covered by the standard CC-BY 4.0 licence: https://creativecommons.org/licenses/by/4.0/
Affiliation(s) of Dataset Creator(s): University of Stirling (Computing Science - CSM Dept)
University of Lille

Files in This Item:
File Description SizeFormat 
NETGEN.zip6.61 MBUnknownView/Open
PIHERAMUSLIU_FEATURES.zip775.12 kBUnknownView/Open
TSPLIB.zip1.09 MBUnknownView/Open
TSPMETA_FEATURES.zip658.82 kBUnknownView/Open
EAX_PERFORMANCE.zip160.18 kBUnknownView/Open
IPT_PERFORMANCE.zip214.05 kBUnknownView/Open
MORPH.zip6.86 MBUnknownView/Open
README.txt2.47 kBTextView/Open
GPX2_PERFORMANCE.zip213.93 kBUnknownView/Open
RUE.zip6.88 MBUnknownView/Open


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