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Title: An analysis of the XOR dynamic problem generator based on the dynamical system
Authors: Tinos, R
Yang, S
Issue Date: 2010
Publisher: Springer-Verlag
Citation: 11th International Conference on Parallel Problems Solving from Nature (PPSN XI), Part 1, 6238: 274 - 283, 2010
Abstract: In this paper, we use the exact model (or dynamical system approach) to describe the standard evolutionary algorithm (EA) as a discrete dynamical system for dynamic optimization problems (DOPs). Based on this dynamical system model, we analyse the properties of the XOR DOP Generator, which has been widely used by researchers to create DOPs from any binary encoded problem. DOPs generated by this generator are described as DOPs with permutation, where the fitness vector is changed according to a permutation matrix. Some properties of DOPs with permutation are analyzed, which allows explaining some behaviors observed in experimental results. The analysis of the properties of problems created by the XOR DOP Generator is important to understand the results obtained in experiments with this generator and to analyze the similarity of such problems to real world DOPs.
Description: This is the post-print version of the article - Copyright @ 2010 Springer-Verlag
ISSN: 0302-9743
Appears in Collections:Publications
Computer Science
Dept of Computer Science Research Papers

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