Global Optimization

Scientific and Engineering Case Studies de

Éditeur :

Springer


Paru le : 2006-10-13

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Description
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.
Pages
546 pages
Collection
n.c
Parution
2006-10-13
Marque
Springer
EAN papier
9780387304083
EAN PDF
9780387309279

Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
54
Taille du fichier
27976 Ko
Prix
149,79 €

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