Comparison of Direct Multiobjective Optimization Methods for the Design of Electric Vehicles

For offline energy optimization in hybrid-electric vehicles, our algorithms based on global optimization produce solutions of significantly lower fuel consumption cost than

Keywords: efficient global optimization, Gaussian process, optimal guidance, Kriging, nonlinear model predictive control, unmanned aerial

Title: Design and control of a 6-phase Interleaved Boost Converter based on SiC semiconductors with EIS functionality for Fuel Cell Electric Vehicle. Keywords: Electric vehicle,

Adaptive Multigrid Methods for Fluid- Structure Interaction (FSI) Optimization in an Aircraft and Design of Integrated Structural Health Monitoring (SHM) Systems.. 2nd ECCOMAS

Multidisciplinary Design Optimization of the Actuation Sys- tem of a Hybrid Electric Aircraft

For offline energy optimization in hybrid-electric vehicles, our algorithms based on global optimization produce solutions of significantly lower fuel consumption cost than

At the end of the optimization process, each discipline sends to the supervisor a table which contains the values of disciplinary design variables and the associate