Global Optimization - Scientific and Engineering Case Studies (Hardcover, 2006 ed.)

Optimization models based on a nonlinear systems description often possess multiple local optima. The objective of global optimization (GO) is to find the best possible solution of multiextremal problems. This volume illustrates the applicability of GO modeling techniques and solution strategies to real-world problems. The contributed chapters cover a broad range of applications from agroecosystem management, assembly line design, bioinformatics, biophysics, black box systems optimization, cellular mobile network design, chemical process optimization, chemical product design, composite structure design, computational modeling of atomic and molecular structures, controller design for induction motors, electrical engineering design, feeding strategies in animal husbandry, the inverse position problem in kinematics, laser design, learning in neural nets, mechanical engineering design, numerical solution of equations, radiotherapy planning, robot design, and satellite data analysis. The solution strategies discussed encompass a range of practically viable methods, including both theoretically rigorous and heuristic approaches.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Nonconvex Optimization and Its Applications, 85
Release date:	July 2006
First published:	2006
Editors:	Janos D. Pinter
Dimensions:	235 x 156 x 31mm (L x W x T)
Format:	Hardcover
Pages:	546
Edition:	2006 ed.
ISBN-13:	978-0-387-30408-3
Categories:	Books > Science & Mathematics > Science: general issues > General Books > Professional & Technical > Technology: general issues > Engineering: general Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling Promotions
LSN:	0-387-30408-8
Barcode:	9780387304083

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