Please use this identifier to cite or link to this item:
Appears in Collections:University of Stirling Research Data
Title: Data From "Clarifying the Difference in Local Optima Network Sampling Algorithms"
Creator(s): Thomson, Sarah L.
Contact Email:
Date Available: 28-Feb-2019
Citation: Thomson, SL (2019): Data From "Clarifying the Difference in Local Optima Network Sampling Algorithms". University of Stirling. Faculty of Natural Sciences. Dataset.
Publisher: University of Stirling. Faculty of Natural Sciences.
Dataset Description (Abstract): The dataset comprises fitness landscape data for "Clarifying the Differences in Local Optima Network Sampling Algorithms", S. L. Thomson, G. Ochoa and S. Verel, The 19th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP, part of EvoStar 2019), 24-26 April 2019, Leipzig, Germany. The dataset is extracted local optima networks for the 30 Quadratic Assignment Problem instances that are sampled in the paper according to two different methodologies: using a snowball sampling approach, and using an iterated local search based algorithm. Also included is optimisation data for the instances, obtained by running iterated local search and robust tabu search on them multiple times.
Dataset Description (TOC): The dataset is organised into three 'zip' files. '' is the optimisation data obtained by running iterated local search and tabu search on the instances. The instances are all part of the Quadratic Assignment Problem Library (QAPLIB, '' and '' contain 90 local optima networks each, in each case three for each instance, each constructed using a different set of sampling parameters. Additional details are 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
Worktribe Project ID: 415580
Rights: Rights covered by the standard CC-BY 4.0 licence:
Affiliation(s) of Dataset Creator(s): University of Stirling (Computing Science - CSM Dept)

Files in This Item:
File Description SizeFormat 
readme.txt1.83 kBTextView/Open
ILSLocalOptimaNetworkSamples.zip130.48 MBzipView/Open
OptimisationRuns.zip144.24 kBzipView/Open
SnowballLocalOptimaNetworkSamples.zip230.14 MBzipView/Open

This item is protected by original copyright

Items in DataSTORRE are protected by copyright, with all rights reserved, unless otherwise indicated.