Global Optimization: Scientific and Engineering Case Studies

Pintér, János D. (Editor)

ISBN 10: 1441940235 / ISBN 13: 9781441940230

Published by Springer US, 2006

About this Item

570 pages. 9.25x6.25x1.29 inches. In Stock.

Seller Inventory # x-1441940235

Bibliographic Details

• Title: Global Optimization: Scientific and Engineering Case Studies
• Publisher: Springer US
• Publication Date: 2006
• Language: English
• ISBN 10: 1441940235
• ISBN 13: 9781441940230
• Binding: Paperback
• Condition: Brand New
• Weight: 1.01 kilograms

About this title

Synopsis

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.

From the Back Cover

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.