Data from Deconstructing the Big Valley Search Space Hypothesis

Please use this identifier to cite or link to this item: http://hdl.handle.net/11667/71

Appears in Collections:	University of Stirling Research Data
Title:	Data from Deconstructing the Big Valley Search Space Hypothesis
Creator(s):	Veerapen, Nadarajen Ochoa, Gabriela
Keywords:	Fitness landscape Traveling Salesman Problem Local Optima Network
Date Available:	8-Jan-2016
Citation:	Veerapen, N; Ochoa, G (2016): Data from Deconstructing the Big Valley Search Space Hypothesis. Version 1. University of Stirling. Faculty of Natural Sciences. Dataset. http://hdl.handle.net/11667/71
Publisher:	University of Stirling. Faculty of Natural Sciences.
Dataset Description (Abstract):	The dataset contains landscape data for "Deconstructing the Big Valley Search Space Hypothesis", G. Ochoa, N. Veerapen. The 16th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP 2016), 30 March - 1 April 2016, Porto, Portugal. The dataset describes the network structure of the local optima networks for the four TSPLIB Traveling Salesman Problem instances that are sampled in the paper.
Dataset Description (TOC):	The dataset is described in the README.txt file.
Type:	dataset
Contract/Grant Title:	DAASE: Dynamic Adaptive Automated Software Engineering
Funder(s):	EPSRC - Engineering and Physical Sciences Research Council
Contract/Grant Number:	EP/J017515/1
RMS ID:	1067
URI:	http://hdl.handle.net/11667/71
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)

Files in This Item:

File	Description	Size	Format
EvoCOP2016-data.zip	Dataset	12.16 MB	Unknown	View/Open
README.txt	Dataset description, including file format and structure.	2.8 kB	Text	View/Open

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