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Título

Improved scatter search for the global optimzation of computationally expensive dynamic models

AutorEgea, José A. ; Vázquez, Emmanuel; Banga, Julio R. ; Martí, Rafael
Palabras claveGlobal optimization
Expensive functions
Scatter search
Kriging
Fecha de publicación2009
EditorSpringer
CitaciónJournal of Global Optimization 43(2-3): 175-190 (2009)
ResumenA new algorithm for global optimization of costly nonlinear continuous problems is presented in this paper. The algorithm is based on the scatter search metaheuristic, which has recently proved to be efficient for solving combinatorial and nonlinear optimization problems. A kriging-based prediction method has been coupled to the main optimization routine in order to discard the evaluation of solutions that are not likely to provide high quality function values. This makes the algorithm suitable for the optimization of computationally costly problems, as is illustrated in its application to two benchmark problems and its comparison with other algorithms
Descripción16 páginas, 6 figuras, 3 tablas.-- The final publication is available at www.springerlink.com
Versión del editorhttp://dx.doi.org/10.1007/s10898-007-9172-y
URIhttp://hdl.handle.net/10261/49183
DOI10.1007/s10898-007-9172-y
ISSN0925-5001
E-ISSN1573-2916
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