Multiobjective Shape Design in Electricity and Magnetism

Nonfiction, Science & Nature, Science, Physics, Electricity, Technology, Electronics
Cover of the book Multiobjective Shape Design in Electricity and Magnetism by Paolo Di Barba, Springer Netherlands
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Paolo Di Barba ISBN: 9789048130801
Publisher: Springer Netherlands Publication: December 3, 2009
Imprint: Springer Language: English
Author: Paolo Di Barba
ISBN: 9789048130801
Publisher: Springer Netherlands
Publication: December 3, 2009
Imprint: Springer
Language: English

Multiobjective Shape Design in Electricity and Magnetism 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, Multiobjective Shape Design in Electricity and Magnetism 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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Multiobjective Shape Design in Electricity and Magnetism 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, Multiobjective Shape Design in Electricity and Magnetism 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.

More books from Springer Netherlands

Cover of the book Phenomenology and Dialectical Materialism by Paolo Di Barba
Cover of the book Plants and Heavy Metals by Paolo Di Barba
Cover of the book The Fundamentals of Quality Management by Paolo Di Barba
Cover of the book Plants, Pollutants and Remediation by Paolo Di Barba
Cover of the book Philosophical Papers 1913–1946 by Paolo Di Barba
Cover of the book Geological Methods in Mineral Exploration and Mining by Paolo Di Barba
Cover of the book Radionuclide Ventricular Function Studies by Paolo Di Barba
Cover of the book Collaboration in Teacher Education by Paolo Di Barba
Cover of the book Aujeszky’s Disease by Paolo Di Barba
Cover of the book Sulfur Metabolism in Plants by Paolo Di Barba
Cover of the book Reframing Sustainable Tourism by Paolo Di Barba
Cover of the book A Guide to Empirical Orthogonal Functions for Climate Data Analysis by Paolo Di Barba
Cover of the book Transport Phenomena in Plants by Paolo Di Barba
Cover of the book Imms’ Outlines of Entomology by Paolo Di Barba
Cover of the book Bio-aggregates Based Building Materials by Paolo Di Barba
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy