This project addresses the lack of interest and dropout rates in exact and technological sciences by promoting educational transformation. It aims to develop a service model that fosters academic engagement and social advancement.
A study explored existence of solutions and Fritz–John and Karush–Kuhn–Tucker optimality conditions for nonlinear programming via Gordan’s alternative. It extends these results to multiobjective problems and examines invexity and KT-invexity, showing KKT conditions are necessary and sufficient in the broadest problem class.
A continuation of prior research on Karush–Kuhn–Tucker conditions under key constraint qualifications (LICQ, Mangasarian–Fromovitz, Abadie, Guignard), examining their interrelations and impact on Lagrange multipliers. Using Motzkin’s Alternative Theorem and linear-programming duality, it aims to explore additional qualifications and extend findings to multiobjective optimization.
This project involves the study of irregular optimization problems with one and multiple objectives
Propose efficient strategies for hydrothermal planning
The goal of this project is to develop efficient and robust algorithms for Global and/or Multiobjective Derivative-free Optimization 