Title :
Differential Migration: Sensitivity analysis and comparison study
Author_Institution :
Fac. of Appl. Inf., Tomas Bata Univ. in Zlin, Zlin
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;
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
DOI :
10.1109/CEC.2009.4983150
