Using novelty search in differential evolution

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URI: https://hdl.handle.net/11556/2494
ISSN: 1865-0929
ISBN: 9783319947785
DOI: 10.1007/978-3-319-94779-2_46
Publication date
2018
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Springer Verlag
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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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Publisher Copyright: © 2018, Springer International Publishing AG, part of Springer Nature.
Keywords
Artificial life , Differential evolution , Novelty search , Swarm and evolutionary robotics , General Computer Science , General Mathematics
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conference output
Citation
Fister , I , Iglesias , A , Galvez , A , Del Ser , J & Osaba , E 2018 , Using novelty search in differential evolution . in J M Corchado , V Julian , E Osaba Icedo , J Bajo , P Hoffa-Dabrowska , R A Silveira , A Fernandez , S Giroux , E M Navarro Martínez , P Mathieu , A J Castro , N Sanchez-Pi , E del Val , R Unland & R Fuentes-Fernandez (eds) , Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity : The PAAMS Collection - International Workshops of PAAMS 2018, Proceedings . Communications in Computer and Information Science , vol. 887 , Springer Verlag , pp. 534-542 , 16th International Conference on Practical Applications of Agents, Multi-Agent Systems, PAAMS 2018 , Toledo , Spain , 20/06/18 . https://doi.org/10.1007/978-3-319-94779-2_46
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