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A review and comparison of solvers for convex MINLP
In this paper, we present a review of deterministic software for solving convex MINLP
problems as well as a comprehensive comparison of a large selection of commonly …
problems as well as a comprehensive comparison of a large selection of commonly …
The SCIP optimization suite 8.0
The SCIP Optimization Suite provides a collection of software packages for mathematical
optimization centered around the constraint integer programming framework SCIP. This …
optimization centered around the constraint integer programming framework SCIP. This …
Large-scale unit commitment under uncertainty: an updated literature survey
Abstract The Unit Commitment problem in energy management aims at finding the optimal
production schedule of a set of generation units, while meeting various system-wide …
production schedule of a set of generation units, while meeting various system-wide …
Mixed-integer nonlinear optimization
Many optimal decision problems in scientific, engineering, and public sector applications
involve both discrete decisions and nonlinear system dynamics that affect the quality of the …
involve both discrete decisions and nonlinear system dynamics that affect the quality of the …
Redesigning Benders decomposition for large-scale facility location
The uncapacitated facility location (UFL) problem is one of the most famous and most
studied problems in the operations research literature. Given a set of potential facility …
studied problems in the operations research literature. Given a set of potential facility …
On mixed-integer programming formulations for the unit commitment problem
We provide a comprehensive overview of mixed-integer programming formulations for the
unit commitment (UC) problem. UC formulations have been an especially active area of …
unit commitment (UC) problem. UC formulations have been an especially active area of …
Tight mixed integer linear programming formulations for the unit commitment problem
This paper examines the polytope of feasible power generation schedules in the unit
commitment (UC) problem. We provide computational results comparing formulations for the …
commitment (UC) problem. We provide computational results comparing formulations for the …
Sparse regression at scale: Branch-and-bound rooted in first-order optimization
We consider the least squares regression problem, penalized with a combination of the ℓ _ 0
ℓ 0 and squared ℓ _ 2 ℓ 2 penalty functions (aka ℓ _0 ℓ _2 ℓ 0 ℓ 2 regularization). Recent …
ℓ 0 and squared ℓ _ 2 ℓ 2 penalty functions (aka ℓ _0 ℓ _2 ℓ 0 ℓ 2 regularization). Recent …
Tighter approximated MILP formulations for unit commitment problems
The short-term unit commitment (UC) problem in hydrothermal power generation is a large-
scale, mixed-integer nonlinear program, which is difficult to solve efficiently, especially for …
scale, mixed-integer nonlinear program, which is difficult to solve efficiently, especially for …
Perspective reformulations of mixed integer nonlinear programs with indicator variables
We study mixed integer nonlinear programs (MINLP) s that are driven by a collection of
indicator variables where each indicator variable controls a subset of the decision variables …
indicator variables where each indicator variable controls a subset of the decision variables …