In this short note, we discuss a goal-oriented multiobjective optimization problem for system performance assessment. The objective function for such optimization problem, which is usually a composite of different performance indices corresponding to different operating conditions or scenarios in the system, is then posed as a goal-oriented multiobjective optimization problem. The (sub)-optimal solution(s) for such nonlinear optimization problem can be solved using a Sequential Quadratic Programming algorithm.
@article{arxiv.2006.06121,
title = {On Goal-Oriented Multiobjective Embedded Optimization for System Performance Assessment},
author = {Getachew K Befekadu},
journal= {arXiv preprint arXiv:2006.06121},
year = {2020}
}
Comments
3 pages, June, 2010 - Originally submitted as a technical report at the University of Notre Dame, IN, USA