The identification of performance-optimizing parameter settings is an important part of the
development and application of algorithms. We describe an automatic framework for this …

Mathematical programming problems with semi-continuous variables and cardinality
constraint have many applications, including production planning, portfolio selection …

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 …

Shelters are safe facilities that protect a population from possible damaging effects of a
disaster. For that reason, shelter location and traffic assignment decisions should be …

State-of-the-art solvers for mixed integer programming (MIP) problems are highly
parameterized, and finding parameter settings that achieve high performance for specific …

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 …

In certain electricity markets, because of nonconvexities that arise from their operating
characteristics, generators that follow the independent system operator's (ISO's) decisions …

In this paper we review the relevant literature on mathematical optimization with logical
implications, ie, where constraints can be either active or disabled depending on logical …

Research efforts of the past fifty years have led to a development of linear integer
programming as a mature discipline of mathematical optimization. Such a level of maturity …

Airline operations are subject to frequent disruptions typically due to unexpected aircraft
maintenance requirements and undesirable weather conditions. Recovery from a disruption …