The book is entirely focused on electric and magnetic field synthesis, with special emphasis on the optimal shape design of devices when conflicting objectives are to be fulfilled. Direct problems are solved by means of finite-element analysis, while evolutionary computing is used to solve multiobjective inverse problems. This approach, which is original, is coherently developed throughout the whole manuscript. The use of game theory, dynamic optimisation, and Bayesian imaging strengthens the originality of the book. Covering the development of multiobjective optimisation in the past ten years, the book is a concise, comprehensive and up-to-date introduction to this research field, which is growing in the community of electricity and magnetism. Theoretical issues are illustrated by practical examples. In particular, a test problem is solved by different methods so that, by comparison of results, advantages and limitations of the various methods are made clear. Topics covered include: • Maxwell equations and boundary-value problems; • Paretian optimality; • static optimisation; • game theory; • dynamic optimisation; • Bayesian imaging. The book collects the long-lasting experience matured by the author during his research activity both at the university and in cooperation with industrial laboratories.

Multiobjective Shape Design in Electricity and Magnetism

DI BARBA, PAOLO
2010-01-01

Abstract

The book is entirely focused on electric and magnetic field synthesis, with special emphasis on the optimal shape design of devices when conflicting objectives are to be fulfilled. Direct problems are solved by means of finite-element analysis, while evolutionary computing is used to solve multiobjective inverse problems. This approach, which is original, is coherently developed throughout the whole manuscript. The use of game theory, dynamic optimisation, and Bayesian imaging strengthens the originality of the book. Covering the development of multiobjective optimisation in the past ten years, the book is a concise, comprehensive and up-to-date introduction to this research field, which is growing in the community of electricity and magnetism. Theoretical issues are illustrated by practical examples. In particular, a test problem is solved by different methods so that, by comparison of results, advantages and limitations of the various methods are made clear. Topics covered include: • Maxwell equations and boundary-value problems; • Paretian optimality; • static optimisation; • game theory; • dynamic optimisation; • Bayesian imaging. The book collects the long-lasting experience matured by the author during his research activity both at the university and in cooperation with industrial laboratories.
2010
The Electrical and Electronics Engineering category covers resources concerned with applications of electricity, generally those involving current flow through conductors, as in motors and generators. This category also covers the examination of the conduction of electricity through gases or a vacuum as well as through semiconducting materials. Topics include image and signal processing, electromagnetics, electronic components and materials, microwave technology, and microelectronics.
Inglese
Internazionale
STAMPA
9789048130795
Springer
Heidelberg
GERMANIA
"The intention of this book is to try to dispel some of the myths surrounding computer-based optimisation. Professor Di Barba provides a comprehensive overview of the current state-of-the-art in both the theory and the algorithms involved in moving the design of an electromagnetic device towards the required goals. Overall, this book provides an up-to-date and comprehensive overview of optimisation techniques related to electromagnetic devices and systems in a logical and consistent manner. An understanding of its contents can help a designer to use the computational resources that are now available in a much more effective manner." From the book preface, by David A. Lowther, James McGill Professor, Department of Electrical and Computer Engineering, McGill University, Montreal
Multiobjective optimisation in electricity and magnetism; Optimal shape design; Electric and magnetic field synthesis; Evolutionary computing; Finite-element modelling of electric and magnetic devices
276
1
DI BARBA, Paolo
none
info:eu-repo/semantics/book
3 Libro::3.1 Monografia o trattato scientifico
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11571/202767
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