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Using Novelty Search in Differential Evolution

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Article 01 Jan 2018Publisher:Springer International Publishing

Authors: Akemi Gálvez; Akemi Gálvez; Iztok Fister; Iztok Fister; Javier Del Ser; Javier Del Ser; Eneko Osaba; +2 Authors

doi: 10.1007/978-3-319-94779-2_46

Using Novelty Search in Differential Evolution

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Abstract

Novelty search in evolutionary robotics measures a distance of potential novelty solutions to their k-nearest neighbors in the search space. This distance presents an additional objective to the fitness function, with which each individual in population is evaluated. In this study, the novelty search was applied within the differential evolution. The preliminary results on CEC-14 Benchmark function suite show its potential for using also in the future.

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Tohoku University
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Basque Center for Applied Mathematics
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University of the Basque Country
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