Add to ORKGThe present paper discusses the use of different, \u201cDesign of Experiment\u201d and statistical theory based methods to improve and speed up the \u201cGeneralised Response Surface Method\u201d, using multiquadrics to describe the objective function in parameter space, for the optimization of multiminima design problems in magnetics. The effectiveness of the proposed approach to enhance the convergence of stochastic optimisation algorithms is tested on a couple of test problems and results are discussed
A multiobjective sequential optimization method (MSOM) is presented to deal with practical design pr...
Permanent Magnet Synchronous Motors offer high efficiency and power density besides low assembly eff...
Abstract:- This paper presents a comparative study of two stochastic optimization methods: the elect...
The present paper discusses the use of different, "Design of Experiment" and statistical theory base...
The present paper discusses a technique, based on the combined use of Radial Basis Functions (RBF), ...
An algorithm is developed for the optimization of second order response surface designs. The techniq...
A new optimization method, combining design of experiments with evolutionary computing, is proposed....
A new optimization method, combining design of experiments with evolutionary computing, is proposed....
The use of "response surface" method in the sensitivity analysis and optimisation of electromagnetic...
This paper presents a global optimization algorithm combining an adaptive response surface approxima...
There have been many productive methods developed so far for optimization of multiple response surfa...
In recent years, response surface methodology (RSM) has brought many attentions of many quality engi...
A new response surface model (RSM), the moving least squares (MLS) approximation, is proposed for re...
The book is entirely focused on electric and magnetic field synthesis, with special emphasis on the ...
Purpose - To present a robust optimal design technique in the presence of system parameters uncertai...
A multiobjective sequential optimization method (MSOM) is presented to deal with practical design pr...
Permanent Magnet Synchronous Motors offer high efficiency and power density besides low assembly eff...
Abstract:- This paper presents a comparative study of two stochastic optimization methods: the elect...
The present paper discusses the use of different, "Design of Experiment" and statistical theory base...
The present paper discusses a technique, based on the combined use of Radial Basis Functions (RBF), ...
An algorithm is developed for the optimization of second order response surface designs. The techniq...
A new optimization method, combining design of experiments with evolutionary computing, is proposed....
A new optimization method, combining design of experiments with evolutionary computing, is proposed....
The use of "response surface" method in the sensitivity analysis and optimisation of electromagnetic...
This paper presents a global optimization algorithm combining an adaptive response surface approxima...
There have been many productive methods developed so far for optimization of multiple response surfa...
In recent years, response surface methodology (RSM) has brought many attentions of many quality engi...
A new response surface model (RSM), the moving least squares (MLS) approximation, is proposed for re...
The book is entirely focused on electric and magnetic field synthesis, with special emphasis on the ...
Purpose - To present a robust optimal design technique in the presence of system parameters uncertai...
A multiobjective sequential optimization method (MSOM) is presented to deal with practical design pr...
Permanent Magnet Synchronous Motors offer high efficiency and power density besides low assembly eff...
Abstract:- This paper presents a comparative study of two stochastic optimization methods: the elect...