Global Optimization: Scientific and Engineering Case Studies 2006 Edition Contributor(s): Pinter, Janos D. (Editor) |
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ISBN: 0387304088 ISBN-13: 9780387304083 Publisher: Springer OUR PRICE: $161.49 Product Type: Hardcover - Other Formats Published: July 2006 Annotation: 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. |
Additional Information |
BISAC Categories: - Mathematics | Linear & Nonlinear Programming - Mathematics | Number Systems - Mathematics | Applied |
Dewey: 519.6 |
LCCN: 2005937082 |
Series: Nonconvex Optimization and Its Applications |
Physical Information: 1.25" H x 6.14" W x 9.21" (2.14 lbs) 546 pages |
Descriptions, Reviews, Etc. |
Publisher 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. |