DocumentCode
1639239
Title
Differential Migration: Sensitivity analysis and comparison study
Author
Dlapa, Marek
Author_Institution
Fac. of Appl. Inf., Tomas Bata Univ. in Zlin, Zlin
fYear
2009
Firstpage
1729
Lastpage
1736
Abstract
The contribution treats properties of a new evolutionary algorithm - Differential Migration, and provides a comparison with other algorithms of this type. Differential Migration is tested with a standard artificial neural network benchmark and standard test functions for performance comparison. Sensitivity analysis is conducted in order to specify the optimal parameters and their influence to the algorithm performance. SOMA (Self-Organizing Migration Algorithm) and Differential Evolution are used as a reference, and the results are compared with Differential Migration.
Keywords
evolutionary computation; neural nets; sensitivity analysis; artificial neural network benchmark; differential migration; evolutionary algorithm; selforganizing migration algorithm; sensitivity analysis; standard test functions; Artificial neural networks; Benchmark testing; Birds; Cost function; Delta modulation; Evolutionary computation; Genetic algorithms; Optimization methods; Search methods; Sensitivity analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2009. CEC '09. IEEE Congress on
Conference_Location
Trondheim
Print_ISBN
978-1-4244-2958-5
Electronic_ISBN
978-1-4244-2959-2
Type
conf
DOI
10.1109/CEC.2009.4983150
Filename
4983150
Link To Document