... and compared with deterministic optimization. Magnetic flux-density distributions are also analyzed to explain the physical influence of the optimized notches. Findings The results show that uncertainty-based optimization reduces the sensitivity of electromagnetic responses to dimensional deviations...

...ShengYi Du; DongHong Tan; Zitong Chen Purpose This study aims to propose a comprehensive optimization and scheduling method for the combined heat and power (CHP) systems that takes into account the uncertainties of wind power and demand response. Design/methodology/approach The uncertainty...

...Christos Salis; Nikolaos V. Kantartzis; Theodoros Zygiridis Purpose The fabrication of electromagnetic (EM) components may induce randomness in several design parameters. In such cases, an uncertainty assessment is of high importance, as simulating the performance of those devices via...

..., the authors study wave-propagation phenomena supported by graphene layers within a stochastic framework, i.e. when uncertainty in various factors affects the graphene’s surface conductivity. Given that the consideration of an increasing number of graphene sheets may increase the stochastic dimensionality...

...Siyang Deng; Stéphane Brisset; Stephane Clénet Purpose This paper compares six reliability-based design optimization (RBDO) approaches dealing with uncertainties for a simple mathematical model and a multidisciplinary optimization problem of a safety transformer to highlight the most effective...

...Pengbo Wang; Jingxuan Wang Purpose Uncertainty is ubiquitous in practical engineering and scientific research. The uncertainties in parameters can be treated as interval numbers. The prediction of upper and lower bounds of the response of a system including uncertain parameters is of immense...

...Prof. Norio Takahashi; Ziyan Ren; Dianhai Zhang; Chang Seop Koh Purpose – The purpose of this paper is to propose a multi-objective optimization algorithm, which can improve both the performance robustness and the constraint feasibility when the uncertainty in design variables is considered...