Differential migration: sensitivity analysis and comparison study

Authors:
Marek Dlapa
Affiliations:
Tomas Bata University in Zlin, Faculty of Applied Informatics, Zlin, Czech Rep.
Venue:
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Year:
2009

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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.