Multiobjective Shape Design in Electricity and Magnetism

Paolo DI BARBA graduated in Electronic Engineering (MSc) in the year 1987-1988 at the University of Pavia, Italy. He obtained the PhD degree in Electrical Engineering from the Technical University of Lodz, Poland, in the year 2001-2002. At the time being, he is a full professor of electrical engineering (tenure position) at the University of Pavia, Faculty of Engineering. He is a member of the steering committees of some international symposia in the area of computational electromagnetism, in particular: Intl Symposium on Electromagnetic Fields in Electrical Engineering (ISEF), Workshop on Optimization and Inverse Problems in Electromagnetism (OIPE).The scientific interests of the author include the computer-aided design of electric, magnetic and electromechanical devices with special emphasis on the methodologies for multi-objective optimisation in electromagnetism. He is author of more than 100 papers, either presented to international conferences or published in international journals; relevant applications concern electrical power engineering as well as biomedical engineering.

"The intention of this book is to try to dispel some of the myths surrounding computer-based optimisation. Professor Di Barba provides an up-to-date and comprehensive overview of optimisation techniques related to electromagnetic devices and systems in a logical and consistent way. An understanding of the contents of this book can help a designer to use the computational resources that are now available in a much more effective manner." David A. Lowther Ph.D., AKC, FCAE, FIET James McGill Professor Department of Electrical and Computer Engineering McGill University, Montreal

• Inverse Problems and Error Minimisation.- A Paretian Approach to MOSD Theory.- Field Models and Shape Design.- Solving Multiobjective Optimisation Problems.- A Field-Based Benchmark.- Static MOSD.- Moving Along the Pareto Front.- Sensitivity Analysis and MOSD.- Non-Conflicting Multiple Objectives.- Higher-Order Dimensionality.- Multi-Scale Evolution Strategy.- Game Theory and MOSD.- Dynamic MOSD.- An Introduction to Bayesian Probability Theory.- A Bayesian Approach to Multiobjective Optimisation.- Bayesian Imaging and Shape Design.- Conclusion.