Paper Info
Title
SHADE Algorithm Dynamic Analyzed Through Complex Network.
Abstract
In this preliminary study, the dynamic of continuous optimization algorithm Success-History based Adaptive Differential Evolution (SHADE) is translated into a Complex Network (CN) and the basic network feature, node degree centrality, is analyzed in order to provide helpful insight into the inner workings of this state-of-the-art Differential Evolution (DE) variant. The analysis is aimed at the correlation between objective function value of an individual and its participation in production of better offspring for the future generation. In order to test the robustness of this method, it is evaluated on the CEC2015 benchmark in 10 and 30 dimensions.
Year
Venue
Field
2017
COCOON
Continuous optimization,Computer science,Algorithm,Centrality,Differential evolution,Robustness (computer science),Correlation,Complex network
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
11
4
Name
Order
Citations
PageRank
Adam Viktorin158.23
Roman Senkerik237574.92
Michal Pluhacek321747.34
Tomas Kadavy42020.97