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oaioai:digital.library.adelaide.edu.au:2440/109188

A feature-based analysis on the impact of set of constraints for ε-constrained differential evolution

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Publication date
1 January 2015
Publisher
Springer
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    Abstract

    Different types of evolutionary algorithms have been developed for constrained continuous optimisation. We carry out a featurebased analysis of evolved constrained continuous optimisation instances to understand the characteristics of constraints that make problems hard for evolutionary algorithm. In our study, we examine how various sets of constraints can influence the behaviour of epsilon-Constrained Differential Evolution. Investigating the evolved instances, we obtain knowledge of what type of constraints and their features make a problem difficult for the examined algorithm.Shayan Poursoltan and Frank Neuman

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    Adelaide Research & Scholarship

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    Last time updated on 21/11/2017

    This paper was published in Adelaide Research & Scholarship.

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