169,749 research outputs found
Use of a Smart Multiobjective Optimization Technique in Environmental/Economic Dispatch Problems
No full textRobust target functions in electromagnetic design
No full textUncertainties in the design variables of non-linear engineering optimization problems are often neglected. That could result in considerable deterioration of the target function value of an implemented design compared with the computed optimal solution. This effect can be reduced with robust optimization, where it is tried to achieve robust designs by actively embedding the uncertainties and robustness measures in the optimization process. A methodology for robust optimization of non-linear problems is presented, including practical methods for the solution of such programs. The benefits of the approach are discussed in a numerical field calculation example
Enhanced Identification of Hidden Conductive Objects with Deterministic and Stochastic Methods
No full textThe identification of conductive objects of known shape embedded in low- or non-conductive regions is a special application of non-destructive testing, with important applications in some surgical procedures. In particular, some classes of fractures are routinely stabilized and aligned by the use of intra-medullary nails. Identifying the position and the orientation of the drill holes hidden by bone and tissue is currently done by X-Ray with all the well known disadvantages of this technology. The idea of substituting this methodology with an eddy-current based one has been explored in previous work but the developed technique suffered from some hard to address shortcomings. In this paper we propose a new technique which is computationally efficient and inexpensive to implement
Approximation of the objective function: multiquadrics versus neural networks
No full textGlobal optimization in electrical engineering using stochastic methods requires usually a large amount of CPU time to locate the optimum, if the objective function is calculated either with the finite element method (FEM) or the boundary element method (BEM). One approach to reduce the number of FEM or BEM calls using neural networks and another one using multiquadric functions have been introduced recently. This paper compares the efficiency of both methods, which are applied to a couple of test problems and the results are discussed
Optimal Configuration of the Measurement System for the ECCT
No full textThe ECCT (Electrical Current Computed Tomography) is a non-invasive diagnostic technique based on the identification of the admittivity inside a control volume from its response to low frequency currents. The results of a number of tests aimed at providing guidelines for opti-mally configuring the measurement system will be pre-sented with reference to some particular application in the field of reinforced concrete diagnostics
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