Open Science Research Excellence
@article{(International Science Index):,
  title    = {Performance Analysis of MATLAB Solvers in the Case of a Quadratic Programming Generation Scheduling Optimization Problem},
  author    = {Dávid Csercsik and  Péter Kádár},
  country   = {Hungary},
  institution={Pázmány Péter Catholic University},
  abstract  = {In the case of the proposed method, the problem is
parallelized by considering multiple possible mode of operation
profiles, which determine the range in which the generators operate
in each period. For each of these profiles, the optimization is carried
out independently, and the best resulting dispatch is chosen. For each
such profile, the resulting problem is a quadratic programming (QP)
problem with a potentially negative definite Q quadratic term, and
constraints depending on the actual operation profile. In this paper we
analyze the performance of available MATLAB optimization methods
and solvers for the corresponding QP.},
    journal   = {International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering},  volume    = {13},
  number    = {1},
  year      = {2019},
  pages     = {8 - 12},
  ee        = {},
  url       = {},
  bibsource = {},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 145, 2019},