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Detecting change and dealing with uncertainty in imperfect evolutionary environments

Mujtaba, Hasan; Kendall, Graham; Baig, Abdul R.; Özcan, Ender

Authors

Hasan Mujtaba

Abdul R. Baig



Abstract

Imperfection of information is a part of our daily life; however, it is usually ignored in learning based on evolutionary approaches. In this paper we develop an Imperfect Evolutionary System that provides an uncertain and chaotic imperfect environment that presents new challenges to its habitants. We then propose an intelligent methodology which is capable of learning in such environments. Detecting changes and adapting to the new environment is crucial to exploring the search space and exploiting any new opportunities that may arise. To deal with these uncertain and challenging environments, we propose a novel change detection strategy based on a Particle Swarm Optimization system which is hybridized with an Artificial Neural Network. This approach maintains a balance between exploitation and exploration during the search process. A comparison of approaches using different Particle Swarm Optimization algorithms show that the ability of our learning approach to detect changes and adapt as per the new demands of the environment is high.

Journal Article Type Article
Publication Date May 1, 2015
Journal Information Sciences
Print ISSN 0020-0255
Electronic ISSN 1872-6291
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 302
APA6 Citation Mujtaba, H., Kendall, G., Baig, A. R., & Özcan, E. (2015). Detecting change and dealing with uncertainty in imperfect evolutionary environments. Information Sciences, 302, doi:10.1016/j.ins.2014.12.053
DOI https://doi.org/10.1016/j.ins.2014.12.053
Keywords Artificial Intelligence, Evolutionary Computation, Imperfect Evolutionary Systems, Particle Swarm optimization, Learning
Publisher URL http://www.sciencedirect.com/science/article/pii/S0020025515000055
Copyright Statement Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by-nc-nd/4.0

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by-nc-nd/4.0





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