Optimization and Inverse Problems in Electromagnetism

From 12 to 14 September 2002, the Academy of Humanities and Economics (AHE) hosted the workshop "Optimization and Inverse Problems in Electromagnetism". After this bi-annual event, a large number of papers were assembled and combined in this book. During the workshop recent developments and applications in optimization and inverse methodologies for electromagnetic fields were discussed. The contributions selected for the present volume cover a wide spectrum of inverse and optimal electromagnetic methodologies, ranging from theoretical to practical applications. A number of new optimal and inverse methodologies were proposed. There are contributions related to dedicated software.

Optimization and Inverse Problems in Electromagnetism consists of three thematic chapters, covering:
-General papers (survey of specific aspects of optimization and inverse problems in electromagnetism),
-Methodologies,
-Industrial Applications.

The book can be useful to students of electrical and electronics engineering, computer science, applied mathematics (PhD level) and to researchers interested in the topic.

Editors' Preface. 1. General Papers: introductory remarks. 2. Methodologies: introductory remarks. 3. Applications introductory remarks. Biographies of editors. 1: General Papers. How to Find New and Fresh Ideas; T. Jokinen. Mimicking Nature: How Nature Inspires Methodologies in Computational Electromagnetics; A. Savini. Comparing Stochastic Methods on SMES Optimization; O. Hajji, et al. 2: Methodology. Using Quasi Random Sequences in Genetic Algorithms; H. Maaranen, et al. Symbolic Treatment on Equation Based Models to Prepare Code Generation for Optimization Process; L. Allain, et al. Multiobjective Shape Design in Electromechanics: A Contribution to Benchmarking; P. Di Barba. A New Method for Optimizing the Designing of Grounding Grids; G. Delvecchio, et al. Solving ODE for Optimization: Specific Use of the Matrix Approach; V. Fischer, L. Gerbaud. Use of Discretization for Solution History in Stochastic Optimization; L. Lähteenmäki. A Genetic Algorithm Method for Determining the Maximum Touch Voltage Generated by a Grounding System; M. Sylos Labini, et al. Optimization Techniques Benefits for Magnetic Component Design; D. Magot, et al. Numerical Optimization Methods in Magnet Design; M. Rudnicki, et al. The Use of Quasi-red and Quasi-yellow Nonobtuse Refinements in the Solution of 2-D Electromagnetic PDEs; J. Stando, et al. 2-D Inverse Problem: Ideal Current Distribution Generating a Magnetic Force Field with Given Constraints on Homogeneity; L. Quettier, A. Mailfert. S.M.E.S. Optimization Using the Experimental Design Method; S. Vivier, et al. Optimal Design of Axial Field Silicon Micromotor by Use of Field/Circuit Models; S. Wiak. Exponential Family and Inverse Problems. OnMetamorphoses of Probability Theory; A. Gottwald. Topological Evolution and Inverse Problems. On Probability between Discrete and Continuous; A. Gottwald. Identification of Industrial Electromagnetic Field Sources; A. Canova, et al. 3: Applications. Capitalisation and Treatment of Models for the Optimization of Electric Drives; L. Allain, et al. Application of Screening Analysis to the Optimization of an Electromagnetic Induction Heating Device; S. Alfonzetti, et al. Identification of Conductivity Distribution in a Au-Al Junction for Application to Integrated Circuits; A. Bramanti, et al. Inverse Problem of Voltage over Electrostatic Shield Gap in Helical Transformer Windings; P. Bodlovic, et al. Mixing of FEM and Analytical Modeling: Preliminary Design of a Transformer; B. Delinchant, et al. An Evolutionary Algorithm for the Optimal Design of a Rare Earth Permanent Magnet Machine; Ö. Göl, et al. Optimization of the Force Characteristic of a Solenoid Electromagnet with Ferromagnetic Disc in the Coil; V. Gueorgiev, et al. Optimization of Permanent-Magnet DC Motors Using Orthogonal Arrays; K. Hot, P. Bodlovic. Identification of Field Model's Parameters in the Turbine Generator End Zone Using Measured Data; I. Iatcheva, R. Stancheva. Permanent Magnet Machine Optimization by Using FEM and Sensitivity Analysis Techniques; G.D. Kalokiris, et al. Optimization under Constraints of Static Converters. Application to a Flyback Structure in PFC Mode; C. Larouci, et al. Nondescriptive Quality Testing of High Temperature Superconducting Bulk Material Used in Electrical Machines and Magnetic Bearings; R. Palka, et al. Increasing of Output Power Capability in a Flux-Weakened Permanent Magnet Synchronous Motor with a Third Harmonic Current Injection; B. Štumberger, et