Bilevel optimization is a very active field of applied mathematics. The main reason is that
bilevel optimization problems can serve as a powerful tool for modeling hierarchical …

Bilevel problems with several followers, often called Single-Leader-Multi-Follower problems,
have been proved to be very useful for modeling hierarchical interactions between agents in …

We study linear bilevel programming problems whose lower-level objective is given by a
random cost vector with known distribution. We consider the case where this distribution is …

Bilevel optimization, a hierarchical mathematical framework where one optimization problem
is nested within another, has emerged as a powerful tool for modeling complex decision …

This work explores bilevel problems in the context of cardinality constraints. More
specifically Single-Leader-Multi-Follower games (SLMFG) involving cardinality constraints …

In this thesis work, we develop and apply optimization techniques in energy design and
management. First we focus on bilevel optimization and developed new theoretical analysis …

Muchas situaciones reales implican decisiones jerárquicas donde un nivel superior influye
en las decisiones de un nivel inferior. Firmas con distinta posición en el mercado, gobierno …

In this talk, we present a new heuristic to deal with piecewise linear problems, that we call
the Random Cell Exploration method (RCEM). The method is based over the principle that …