Please use this identifier to cite or link to this item: http://hdl.handle.net/11667/73
Appears in Collections:University of Stirling Research Data
Title: Data from 'Additional dimensions to the study of funnels in combinatorial landscapes'
Creator(s): Veerapen, Nadarajen
Ochoa, Gabriela
Contact Email: nve@cs.stir.ac.uk
Keywords: Local Optima Network
Traveling Salesman Problem
Fitness Landscape
Local Search
Hill Climbing
Date Available: 7-Apr-2016
Citation: Veerapen, N; Ochoa, G (2016): Data from 'Additional dimensions to the study of funnels in combinatorial landscapes'. University of Stirling. Faculty of Natural Sciences. Dataset. http://hdl.handle.net/11667/73
Publisher: University of Stirling. Faculty of Natural Sciences.
Dataset Description (Abstract): The dataset contains landscape data for "Additional dimensions to the study of funnels in combinatorial landscapes", G. Ochoa, N. Veerapen. The 2016 Genetic and Evolutionary Computation Conference (GECCO 2016), 20-24 July 2016, Denver, Colorado, USA. The dataset describes the network structure of the local optima networks for the eight Traveling Salesman Problem instances that are sampled in the paper.
Dataset Description (TOC): The dataset contains landscape data for "Additional Dimensions to the Study of Funnels in Combinatorial Landscapes", G. Ochoa, N. Veerapen. The 2016 Genetic and Evolutionary Computation Conference (GECCO 2016), 20-24 July 2016, Denver, Colorado, USA. The dataset describes the network structure of the local optima networks for the eight Traveling Salesman Problem instances that are sampled in the paper. Within GECCO2016-data.zip, the data are organised into eight folders, one for each of the eight instances analysed in the paper: att532, d657, gr666 and u574 (from TSPLIB, http://comopt.ifi.uni-heidelberg.de/software/TSPLIB95/) and C570.0, C670.0, E570.0 and E670.0 (included in the zip file and generated using the DIMACS TSP instance generator, http://dimacs.rutgers.edu/Challenges/TSP/download.html). Full details are given in the README.txt file.
Type: dataset
Contract/Grant Title: The cartography of computational search spaces
Funder(s): Leverhulme Trust
Contract/Grant Number: RPG-2015-395
RMS ID: 1962
URI: http://hdl.handle.net/11667/73
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)

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README.txt3.88 kBTextView/Open
GECCO2016-data.zip550.68 MBUnknownView/Open


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