Global optimization advances in mixed-integer nonlinear programming, MINLP, and constrained derivative-free optimization, CDFO
This manuscript reviews recent advances in deterministic global optimization for Mixed-
Integer Nonlinear Programming (MINLP), as well as Constrained Derivative-Free …
Integer Nonlinear Programming (MINLP), as well as Constrained Derivative-Free …
A two-stage IGDT-stochastic model for optimal scheduling of energy communities with intelligent parking lots
The proliferation of green mobility will bring multiple benefits to the society; however, it may
be counterproductive for power systems if its integration is not properly planned. In this …
be counterproductive for power systems if its integration is not properly planned. In this …
A Stochastic-IGDT model for energy management in isolated microgrids considering failures and demand response
In power systems, contingencies and outages are more frequent nowadays due to climate
changing effects. This circumstance along equipment aging may lead to unexpected failures …
changing effects. This circumstance along equipment aging may lead to unexpected failures …
Mixed integer linear programming formulation techniques
JP Vielma - Siam Review, 2015 - SIAM
A wide range of problems can be modeled as Mixed Integer Linear Programming (MIP)
problems using standard formulation techniques. However, in some cases the resulting MIP …
problems using standard formulation techniques. However, in some cases the resulting MIP …
A mixed-integer-linear-logical programming interval-based model for optimal scheduling of isolated microgrids with green hydrogen-based storage considering …
Hydrogen produced from renewable sources (green hydrogen) will be recognized as one of
the main trends in future decarbonized energy systems. Green hydrogen can be effectively …
the main trends in future decarbonized energy systems. Green hydrogen can be effectively …
Tightening piecewise McCormick relaxations for bilinear problems
PM Castro - Computers & Chemical Engineering, 2015 - Elsevier
We address nonconvex bilinear problems where the main objective is the computation of a
tight lower bound for the objective function to be minimized. This can be obtained through a …
tight lower bound for the objective function to be minimized. This can be obtained through a …
GloMIQO: Global mixed-integer quadratic optimizer
R Misener, CA Floudas - Journal of Global Optimization, 2013 - Springer
This paper introduces the global mixed-integer quadratic optimizer, GloMIQO, a numerical
solver addressing mixed-integer quadratically-constrained quadratic programs to ε-global …
solver addressing mixed-integer quadratically-constrained quadratic programs to ε-global …
Global optimization of bilinear programs with a multiparametric disaggregation technique
In this paper, we present the derivation of the multiparametric disaggregation technique
(MDT) by Teles et al.(J. Glob. Optim., 2011) for solving nonconvex bilinear programs. Both …
(MDT) by Teles et al.(J. Glob. Optim., 2011) for solving nonconvex bilinear programs. Both …
An interval-based bi-level day-ahead scheduling strategy for active distribution networks in the presence of energy communities
The decarbonization of the electricity sector calls for new operational schemes and
businesses. In this context, traditional consumers have evolved towards prosumers …
businesses. In this context, traditional consumers have evolved towards prosumers …
Neur2SP: Neural two-stage stochastic programming
Stochastic Programming is a powerful modeling framework for decision-making under
uncertainty. In this work, we tackle two-stage stochastic programs (2SPs), the most widely …
uncertainty. In this work, we tackle two-stage stochastic programs (2SPs), the most widely …