1,721,171 research outputs found
Multiobjective Shape Design in Electricity and Magnetism
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
Multi-objective wind-driven optimisation and magnet design
After a short review of the main optimisation methods used in electromagnetic design, the wind-driven optimisation algorithm is focused on.
Its generalisation to the multi-objective case is proposed as the original contribution. The relevant algorithm is able to approximate the Pareto front of a design problem characterised by two or more objective functions which are in conflict. The optimal synthesis of current in a solenoid, trading off field residual minimisation and power loss minimisation, is considered as the case stud
Multiobjective optimal design in electromagnetics: aesthetic criteria and solvable problems
A fast evolutionary method for identifying non-inferior solutions in multicriteria shape optimization of a shielded reactor
Dynamic Multiobjective Optimization: a Way to the Shape Design with Transient Magnetic Fields
The optimal control of the geometry of a magnetic pole under step excitation has been formulated as a problem of multiobjective optimization in dynamic conditions. Accordingly, the nondominated solutions of the problem have been determined in the time domain.
The scope of the paper is to prove the feasibility of dynamic multiobjective optimization in computational electromagnetism by solving a benchmark of inverse magnetic diffusion
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