Sensitivity of Differential Evolution Algorithm to Values of Control Parameters (CROSBI ID 483470)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Šmuc, Tomislav
engleski
Sensitivity of Differential Evolution Algorithm to Values of Control Parameters
Differential evolution is a relatively novel evolutionary algorithm for solving general type of non-linear, constrained optimization problems. Its main advantages are simplicity and good convergence properties, at least for smaller and medium sized problems. Although convergence properties of differential evolution algorithm for modestly dimensioned problems reported in the literature were judged as excellent, analyses of algorithm's performance are still rather elementary. This work presents results of a detailed sensitivity analysis of control parameters on the suite of optimization problems. Relative importance of control parameters, the sensitivity of different strategies to problem types and possible improvements and directions of research are drawn from the obtained results.
differential evolutionary algorithm; convergence; sensitivity analysis
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Podaci o prilogu
1087-1093-x.
2002.
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objavljeno
Podaci o matičnoj publikaciji
Proceedings of the International Conference on Artificial Intelligence
Arabnia, H.R.; Mun, Y.
CSREA Press
Podaci o skupu
International Conference on Artificial Intelligence
poster
24.06.2002-27.06.2002
Las Vegas (NV), Sjedinjene Američke Države