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Digital
Library of the European Council for Modelling and Simulation |
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Title: |
Comparative Study Of The
Distance/Improvement Based SHADE |
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Authors: |
Adam
Viktorin, Roman Senkerik,
Michal Pluhacek, Tomas Kadavy |
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Published in:
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(2018). ECMS 2018
Proceedings Edited by: Lars Nolle, Alexandra
Burger, Christoph Tholen,
Jens Werner, Jens Wellhausen European Council for
Modeling and Simulation. doi:
10.7148/2018-0005 ISSN:
2522-2422 (ONLINE) ISSN:
2522-2414 (PRINT) ISSN:
2522-2430 (CD-ROM) 32nd European Conference on Modelling and Simulation, Wilhelmshaven, Germany, May 22nd
– May 265h, 2018 |
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Citation
format: |
Adam
Viktorin, Roman Senkerik,
Michal Pluhacek, Tomas Kadavy
(2018). Comparative Study Of The Distance/Improvement Based SHADE, ECMS 2018 Proceedings Edited by: Lars Nolle, Alexandra Burger, Christoph
Tholen, Jens Werner, Jens Wellhausen
European Council for Modeling and Simulation. doi: 10.7148/2018-0163 |
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DOI: |
https://doi.org/10.7148/2018-0163 |
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Abstract: |
In
this paper, a comparative study of seven variants of the Success-History
based Adaptive Differential Evolution (SHADE) algorithm is presented with the
aim to show the influence of improvement and distance based parameter
adaptation to its performance. Seven algorithms range from improvement only
based SHADE through a balanced improvement and distance based DIb_SHADE to distance only based Db_SHADE.
The algorithm set is compared on the CEC2015 benchmark set, results are
statistically tested, commented and possible future
research directions are provided. |
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Full
text: |
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