Bilevel optimization is a field of mathematical programming in which some variables are
constrained to be the solution of another optimization problem. As a consequence, bilevel …

This paper contains a bibliography of all references central to bilevel and multilevel
programming that the authors know of. It should be regarded as a dynamic and permanent …

Abstract Machine learning models trained on data from the outside world can be corrupted
by data poisoning attacks that inject malicious points into the models' training sets. A …

In group decision making, the interaction behaviors between the moderator and decision
makers play a critical role in a consensus process. In this study, based on the essential …

Bilevel programming problems are hierarchical optimization problems where the constraints
of one problem (the so-called upper level problem) are defined in part by a second …

The use of optimization techniques has become integral to the design and analysis of most
industrial and socio-economic systems. Great strides have been made recently in the …

Bilevel optimization problems are hierarchical optimization problems where the feasible
region of the so-called upper level problem is restricted by the graph of the solution set …

In this bibliography main directions of research as well as main fields of applications of
bilevel programming problems and mathematical programs with equilibrium constraints are …

One of the most frequently used approaches to solve linear bilevel optimization problems
consists in replacing the lower-level problem with its Karush–Kuhn–Tucker (KKT) conditions …

This paper develops a scenario-based bilevel programming model to optimize the selection
of shelter locations with explicit consideration of a range of possible hurricane events and …