Overview

rd This book constitutes a collection of extended versions of papers presented at the 23 IFIP TC7 Conference on System Modeling and Optimization, which was held in C- cow, Poland, on July 23–27, 2007. It contains 7 plenary and 22 contributed articles, the latter selected via a peer reviewing process. Most of the papers are concerned with optimization and optimal control. Some of them deal with practical issues, e. g. , p- formance-based design for seismic risk reduction, or evolutionary optimization in structural engineering. Many contributions concern optimization of infini- dimensional systems, ranging from a general overview of the variational analysis, through optimization and sensitivity analysis of PDE systems, to optimal control of neutral systems. A significant group of papers is devoted to shape analysis and opti- zation. Sufficient optimality conditions for ODE problems, and stochastic control methods applied to mathematical finance, are also investigated. The remaining papers are on mathematical programming, modeling, and information technology. The conference was the 23rd event in the series of such meetings biennially org- ized under the auspices of the Seventh Technical Committee “Systems Modeling and Optimization” of the International Federation for Information Processing (IFIP TC7).

Full Product Details

Author:   Adam Korytowski ,  Maciej Szymkat ,  Kazimierz Malanowski ,  Wojciech Mitkowski
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2010 ed.
Volume:   312
Dimensions:   Width: 15.50cm , Height: 2.80cm , Length: 23.50cm
Weight:   0.939kg
ISBN:  

9783642048012

ISBN 10:   3642048013
Pages:   507
Publication Date:   15 October 2009
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Plenary Papers.- Performance-Based Design as a Strategy for Risk Reduction: Application to Seismic Risk Assessment of Composite Steel-Concrete Frames.- Efficient Nonlinear Programming Algorithms for Chemical Process Control and Operations.- Application of Evolutionary Optimization in Structural Engineering.- Sufficient Conditions and Sensitivity Analysis for Optimal Bang-Bang Control Problems with State Constraints.- New Applications of Variational Analysis to Optimization and Control.- Problems of Mathematical Finance by Stochastic Control Methods.- Complete Shape Metric and Geodesic.- Regular Papers.- Galerkin Strategy for Level Set Shape Analysis: Application to Geodesic Tube.- Remarks on 0-1 Optimization Problems with Superincreasing and Superdecreasing Objective Functions.- A Hierarchical Multiobjective Routing Model for MPLS Networks with Two Service Classes.- Comparison of the Exact and Approximate Algorithms in the Random Shortest Path Problem.- Free Material Optimization for Plates and Shells.- Elliptic Control by Penalty Techniques with Control Reduction.- Applications of Topological Derivatives and Neural Networks for Inverse Problems.- Factorization by Invariant Embedding of a Boundary Value Problem for the Laplace Operator.- Nonlinear Cross Gramians.- Estimation of Regularization Parameters in Elliptic Optimal Control Problems by POD Model Reduction.- Identification of Material Models of Nanocoatings System Using the Metamodeling Approach.- Using Self-adjoint Extensions in Shape Optimization.- Fundamental Solutions and Optimal Control of Neutral Systems.- Approximate Subgradient Methods for Lagrangian Relaxations on Networks.- A Sample Time Optimization Problem in a Digital Control System.- Level Set Method for Shape and Topology Optimization of ContactProblems.- Second Order Sufficient Optimality Conditions for a Control Problem with Continuous and Bang-Bang Control Components: Riccati Approach.- Shape Sensitivity Analysis for Compressible Navier-Stokes Equations.- Conservative Control Systems Described by the Schrödinger Equation.- Topological Derivatives in Plane Elasticity.- Model Order Reduction for Nonlinear IC Models.- Boundary Smoothness of the Solution of Maxwell’s Equations of Electromagnetics.

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