|
|
Digital
Library of the European Council for Modelling and Simulation |
|
Title: |
SHADE Mutation Strategy Analysis Via Dynamic
Simulation In Complex Network |
|
Authors: |
Adam Viktorin, Roman Senkerik,
Michal Pluhacek, Tomas Kadavy |
|
Published in:
|
(2017).ECMS 2017 Proceedings
Edited by: Zita Zoltay
Paprika, Péter Horák, Kata Váradi, Péter Tamás Zwierczyk, Ágnes Vidovics-Dancs, János Péter Rádics European Council for Modeling and Simulation. doi:10.7148/2017 ISBN:
978-0-9932440-4-9/ ISBN:
978-0-9932440-5-6 (CD) 31st European Conference on Modelling and Simulation, Budapest, Hungary, May 23rd
– May 26th, 2017 |
|
Citation
format: |
Adam
Viktorin, Roman Senkerik,
Michal Pluhacek, Tomas Kadavy
(2017). SHADE Mutation Strategy Analysis Via Dynamic Simulation In Complex
Network, ECMS 2017 Proceedings Edited by: Zita Zoltay Paprika, Péter Horák, Kata Váradi, Péter Tamás Zwierczyk, Ágnes Vidovics-Dancs, János Péter Rádics European Council for Modeling and Simulation. doi: 10.7148/2017-0299 |
|
DOI: |
https://doi.org/10.7148/2017-0299 |
|
Abstract: |
This
paper presents a novel approach to visualizing Evolutionary Algorithm (EA)
dynamic in complex network and analyses the greediness of “current-to-pbest/1” mutation strategy used in
state-of-art Differential Evolution (DE) algorithm – Success-History based
Adaptive DE (SHADE) on CEC2015 benchmark set of test functions. Provided
analysis suggests that the greediness might not be the optimal approach for
guiding the evolution. |
|
Full
text: |
|
