The study presented in this article reformulates and generalizes the TEAM benchmark, originally proposed for multi-objective optimization of magnetic devices under dc conditions, now extending it to the ac regime. A solution is furnished which has enabled an extensive search and reliable estimation of the shape of the Pareto front. Field uniformity and losses are considered with reference to a class of power inductors. It is argued that the benchmark provides a challenging target for new algorithms, especially those involving numerical modeling based on finite-element codes, where the number of objective function calls needs to be minimized for practical designs
The optimal design of electromagnetic devices is often performed by balancing conflicting objectives...
In the paper, a bi-objective optimization problem characterized by coupled field analysis is investi...
The paper proposes a multiobjective optimization to design a radial eddy current coupler, where the ...
The study presented in this article reformulates and generalizes the TEAM benchmark, originally prop...
The study presented in this article reformulates and generalizes the TEAM benchmark, originally prop...
This paper proposes a new benchmark for multi-objective optimization. A solution is furnished which ...
New solutions to a recently proposed benchmark TEAM problem for Pareto optimisation are presented. I...
Benchmarking is essential for testing new numerical analysis codes. Their solution is crucial both f...
This paper describes a robust version to the TEAM 22 benchmark optimization problem and presents the...
After a short review of the main optimisation methods used in electromagnetic design, the wind-drive...
In the paper, a bi-objective optimization problem characterized by a multi-physics field analysis is...
Presents a multi-objective design approach to the many power magnetic devices in use today Power Ma...
The TEAM benchmark problem 22 is an important optimization problem in electromagnetic design, which ...
The feasibility of dynamic multi-objective optimisation in computational electromagnetism is proveda...
A proposal for benchmark problems to test electromagnetic optimization methods, relevant to multiobj...
The optimal design of electromagnetic devices is often performed by balancing conflicting objectives...
In the paper, a bi-objective optimization problem characterized by coupled field analysis is investi...
The paper proposes a multiobjective optimization to design a radial eddy current coupler, where the ...
The study presented in this article reformulates and generalizes the TEAM benchmark, originally prop...
The study presented in this article reformulates and generalizes the TEAM benchmark, originally prop...
This paper proposes a new benchmark for multi-objective optimization. A solution is furnished which ...
New solutions to a recently proposed benchmark TEAM problem for Pareto optimisation are presented. I...
Benchmarking is essential for testing new numerical analysis codes. Their solution is crucial both f...
This paper describes a robust version to the TEAM 22 benchmark optimization problem and presents the...
After a short review of the main optimisation methods used in electromagnetic design, the wind-drive...
In the paper, a bi-objective optimization problem characterized by a multi-physics field analysis is...
Presents a multi-objective design approach to the many power magnetic devices in use today Power Ma...
The TEAM benchmark problem 22 is an important optimization problem in electromagnetic design, which ...
The feasibility of dynamic multi-objective optimisation in computational electromagnetism is proveda...
A proposal for benchmark problems to test electromagnetic optimization methods, relevant to multiobj...
The optimal design of electromagnetic devices is often performed by balancing conflicting objectives...
In the paper, a bi-objective optimization problem characterized by coupled field analysis is investi...
The paper proposes a multiobjective optimization to design a radial eddy current coupler, where the ...