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Differential migration: Sensitivity analysis and comparison study

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Title: Differential migration: Sensitivity analysis and comparison study
Author: Dlapa, Marek
Document type: Conference paper (English)
Source document: 2009 IEEE Congress on Evolutionary Computation, Vols 1-5. 2009, p. 1729-1736
ISBN: 978-1-4244-2958-5
DOI: https://doi.org/10.1109/CEC.2009.4983150
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.
Full text: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4983150
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Citace článku v konferenčním sborníku:
DLAPA, Marek. Differential migration: Sensitivity analysis and comparison study. In: 2009 IEEE Congress on Evolutionary Computation, Vols 1-5 [online]. Trondheim: The Institute of Electrical and Electronics Engineers (IEEE), 2009, s. 1729-1736. [cit. 2024-04-25]. Dostupné z: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4983150.

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