Uncertainties 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.
Alotto, P., Magele, C., Renhart, W., Weber, A. and Steiner, G. (2003), "Robust target functions in electromagnetic design", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 22 No. 3, pp. 549-560. https://doi.org/10.1108/03321640310475029Download as .RIS
MCB UP Ltd
Copyright © 2003, MCB UP Limited