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Quantifying Variable Interactions in Continuous Optimization Problems

Sun, Yuan; Kirley, Michael; Halgamuge, Saman


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
Source: IEEE Transactions on Evolutionary Computation
DOI: 10.1109/TEVC.2016.2599164


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