Global optimization with non-convex constraints : sequential and parallel algorithms /

This book presents a new approach to global non-convex constrained optimization. Problem dimensionality is reduced via space-filling curves. To economize the search, constraint is accounted separately (penalties are not employed). The multicriteria case is also considered. All techniques are general...

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Bibliographic Details

Main Author:	Strongin, R. G. (Roman Grigorʹevich)
Corporate Author:	SpringerLink (Online service)
Other Authors:	Sergeyev, Yaroslav D., 1963-
Format:	eBook
Language:	English
Published:	Dordrecht ; Boston : Kluwer Academic Publishers, [2000]
Series:	Nonconvex optimization and its applications ; v. 45.
Subjects:	Mathematical optimization. Nonconvex programming. Globale Optimierung. Nichtkonvexe Optimierung. Electronic books.
Online Access:	Connect to the full text of this electronic book