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Digital Library

of the European Council for Modelling and Simulation

 

Title:

Comparative Study Of The Distance/Improvement Based SHADE

Authors:

Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy

Published in:

 

 

 

(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

 

 

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

DOI:

https://doi.org/10.7148/2018-0163

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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