Skip navigation
Skip navigation

Quantifying Variable Interactions in Continuous Optimization Problems

Sun, Yuan; Kirley, Michael; Halgamuge, Saman

Description

Interactions between decision variables typically make an optimization problem challenging for an evolutionary algorithm (EA) to solve. Exploratory landscape analysis (ELA) techniques can be used to quantify the level of variable interactions in an optimization problem. However, many studies using ELA techniques to investigate interactions have been limited to combinatorial problems, with very few studies focused on continuous variables. In this paper, we propose a novel ELA measure to quantify...[Show more]

CollectionsANU Research Publications
Date published: 2017
Type: Journal article
URI: http://hdl.handle.net/1885/247420
Source: IEEE Transactions on Evolutionary Computation
DOI: 10.1109/TEVC.2016.2599164

Download

File Description SizeFormat Image
01_Sun_Quantifying_Variable_2017.pdf1.73 MBAdobe PDF    Request a copy


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

Updated:  19 May 2020/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator