Differential migration: sensitivity analysis and comparison study
Author: 
Marek DlapaAuthors Info & Claims
Marek DlapaAuthors Info & ClaimsPages 1729 - 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.
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- Differential migration: sensitivity analysis and comparison study
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Published In
May 2009
3356 pages
ISBN:9781424429585
Publisher
IEEE Press
Publication History
Published: 18 May 2009
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