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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. Topics covered include: Maxwell equations and boundary-value problems; Paretian optimality; static optimisation; game theory; dynamic optimisation; Bayesian imaging. Multiobjective Shape Design in Electricity and Magnetism collects the long-lasting experience matured by the author during his research activity both at the university and in cooperation with industrial laboratories.

Electric fields -- Mathematical models. --- Electronic circuit design -- Mathematical models. --- Magnetic fields -- Mathematical models. --- Mathematical optimization. --- Electronic circuit design --- Electric fields --- Magnetic fields --- Mathematical optimization --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Electrical Engineering --- Mathematical models --- Electromagnetic devices. --- Evolutionary computation. --- Computation, Evolutionary --- Electronics. --- Magnetism. --- Electronics and Microelectronics, Instrumentation. --- Classical Electrodynamics. --- Magnetism, Magnetic Materials. --- Mathematical physics --- Physics --- Electricity --- Magnetics --- Electrical engineering --- Physical sciences --- Neural networks (Computer science) --- Magnetic devices --- Terahertz technology --- Microelectronics. --- Optics. --- Electrodynamics. --- Magnetic materials. --- Materials --- Dynamics --- Light --- Microminiature electronic equipment --- Microminiaturization (Electronics) --- Electronics --- Microtechnology --- Semiconductors --- Miniature electronic equipment

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This book highlights numerical models as powerful tools for the optimal design of Micro-Electro-Mechanical Systems (MEMS). Most MEMS experts have a background in electronics, where circuit models or behavioral models (i.e. lumped-parameter models) of devices are preferred to field models. This is certainly convenient in terms of preliminary design, e.g. in the prototyping stage. However, design optimization should also take into account fine-sizing effects on device behavior and therefore be based on distributed-parameter models, such as finite-element models. The book shows how the combination of automated optimal design and field-based models can produce powerful design toolboxes for MEMS. It especially focuses on illustrating theoretical concepts with practical examples, fostering comprehension through a problem-solving approach. By comparing the results obtained using different methods, readers will learn to identify their respective strengths and weaknesses. In addition, special emphasis is given to evolutionary computing and nature-inspired optimization strategies, the effectiveness of which has already been amply demonstrated. Given its scope, the book provides PhD students, researchers and professionals in the area of computer-aided analysis with a comprehensive, yet concise and practice-oriented guide to MEMS design and optimization. To benefit most from the book, readers should have a basic grasp of electromagnetism, vector analysis and numerical methods.

Electronics. --- Microelectronics. --- Mechatronics. --- Computational intelligence. --- Electronic circuits. --- Biomedical engineering. --- Electronics and Microelectronics, Instrumentation. --- Computational Intelligence. --- Circuits and Systems. --- Biomedical Engineering and Bioengineering.

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This book highlights numerical models as powerful tools for the optimal design of Micro-Electro-Mechanical Systems (MEMS). Most MEMS experts have a background in electronics, where circuit models or behavioral models (i.e. lumped-parameter models) of devices are preferred to field models. This is certainly convenient in terms of preliminary design, e.g. in the prototyping stage. However, design optimization should also take into account fine-sizing effects on device behavior and therefore be based on distributed-parameter models, such as finite-element models. The book shows how the combination of automated optimal design and field-based models can produce powerful design toolboxes for MEMS. It especially focuses on illustrating theoretical concepts with practical examples, fostering comprehension through a problem-solving approach. By comparing the results obtained using different methods, readers will learn to identify their respective strengths and weaknesses. In addition, special emphasis is given to evolutionary computing and nature-inspired optimization strategies, the effectiveness of which has already been amply demonstrated. Given its scope, the book provides PhD students, researchers and professionals in the area of computer-aided analysis with a comprehensive, yet concise and practice-oriented guide to MEMS design and optimization. To benefit most from the book, readers should have a basic grasp of electromagnetism, vector analysis and numerical methods.

Electronics. --- Microelectronics. --- Mechatronics. --- Computational intelligence. --- Electronic circuits. --- Biomedical engineering. --- Electronics and Microelectronics, Instrumentation. --- Computational Intelligence. --- Circuits and Systems. --- Biomedical Engineering and Bioengineering.

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Covering the development of field computation in the past forty years, Field Models in Electricity and Magnetism intends to be a concise, comprehensive and up-to-date introduction to field models in electricity and magnetism, ranging from basic theory to numerical applications. The approach assumed throughout the whole book is to solve field problems directly from partial differential equations in terms of vector quantities. Theoretical issues are illustrated by practical examples. In particular, a single example is solved by different methods so that, by comparison of results, limitations and advantages of the various methods are made clear. The subjects of the synthesis of fields and of the optimal design of devices, which are growing in research and so far have not been adequately covered in textbooks, are developed in addition to more classical subjects of analysis. Topics covered include: vector fields: electrostatics, magnetostatics, steady conduction; analytical methods for solving boundary-value problems; numerical methods for solving boundary-value problems; time-varying electromagnetic field; inverse problems; optimization. Field Models in Electricity and Magnetism results from the cooperation of three authors in teaching electromagnetic theory at various levels and in different countries.

Electrical engineering --- Electromagnetism --- Mathematical models. --- Electromagnetics --- Magnetic induction --- Magnetism --- Metamaterials --- Electric engineering --- Engineering --- Microwaves. --- Engineering. --- Computer aided design. --- Computer simulation. --- Classical Electrodynamics. --- Microwaves, RF and Optical Engineering. --- Computational Intelligence. --- Computer-Aided Engineering (CAD, CAE) and Design. --- Simulation and Modeling. --- Energy, general. --- CAD (Computer-aided design) --- Computer-assisted design --- Computer-aided engineering --- Design --- Construction --- Industrial arts --- Technology --- Hertzian waves --- Electric waves --- Electromagnetic waves --- Geomagnetic micropulsations --- Radio waves --- Shortwave radio --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Optics. --- Electrodynamics. --- Optical engineering. --- Computational intelligence. --- Computer-aided engineering. --- Energy. --- CAE --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Mechanical engineering --- Dynamics --- Physics --- Light --- Data processing

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Covering the development of field computation in the past forty years, Field Models in Electricity and Magnetism intends to be a concise, comprehensive and up-to-date introduction to field models in electricity and magnetism, ranging from basic theory to numerical applications. The approach assumed throughout the whole book is to solve field problems directly from partial differential equations in terms of vector quantities. Theoretical issues are illustrated by practical examples. In particular, a single example is solved by different methods so that, by comparison of results, limitations and advantages of the various methods are made clear. The subjects of the synthesis of fields and of the optimal design of devices, which are growing in research and so far have not been adequately covered in textbooks, are developed in addition to more classical subjects of analysis. Topics covered include: vector fields: electrostatics, magnetostatics, steady conduction; analytical methods for solving boundary-value problems; numerical methods for solving boundary-value problems; time-varying electromagnetic field; inverse problems; optimization. Field Models in Electricity and Magnetism results from the cooperation of three authors in teaching electromagnetic theory at various levels and in different countries.

Electromagnetism. Ferromagnetism --- Spectrometric and optical chemical analysis --- Electrical engineering --- Programming --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- elektrische energie --- lasers (technologie) --- vormgeving --- elektriciteit --- simulaties --- engineering --- algoritmen --- KI (kunstmatige intelligentie) --- elektromagnetisme --- CAD (computer aided design) --- fysicochemie --- numerieke analyse --- spectrometrie --- Electromagnetism --- 537 --- 537 Electricity. Magnetism. Electromagnetism --- Electricity. Magnetism. Electromagnetism --- Electric engineering --- Engineering --- Electromagnetics --- Magnetic induction --- Magnetism --- Metamaterials --- Mathematical models