Global Optimization: Scientific and Engineering Case Studies (Nonconvex Optimization and Its Applications, 85)

PINTER .J.

ISBN 10: 0387304088 / ISBN 13: 9780387304083

Editore: SPRINGER VERLAG GmgH, 2006

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Dati bibliografici

• Titolo: Global Optimization: Scientific and Engineering Case Studies (Nonconvex Optimization and Its Applications, 85)
• Editore: SPRINGER VERLAG GmgH
• Data di pubblicazione: 2006
• Lingua: Inglese
• ISBN 10: 0387304088
• ISBN 13: 9780387304083
• Rilegatura: Rilegato
• Condizione: New

Descrizione articolo

Riassunto

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.

Dalla quarta di copertina

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. Global Optimization: Selected Case Studies 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.

Audience

This book is intended for researchers and practitioners in academia, research and consulting organizations, and industry.