This survey aims to study the solution approaches proposed to solve Multi-Objective Bilevel Optimization (MOBO) problems, including exact methods and approximate techniques such as meta-heuristics.

Misleading solutions or pseudo-feasible solutions in Bilevel Optimization are infeasible solutions that has the same objective function values (considering both level) that the optimum one.

Thousands of bibliographic references on bi-level optimization. Bi-level optimization consists of solving an optimization problem with another optimization problem as a constraint.

Surrogate assisted Metaheuristic for Bilevel Optimization Source code will be available soon…

This work presents a proposal for automated parameter tuning modeled with a hierarchical optimization structure. A framework is proposed in order to handle the randomness and noise from results for […]

Abstract. This paper presents the application of a physics-inspired algorithm based on the center of mass concept, called Bilevel Centers Algorithm (BCA), to deal with bilevel optimization problems. The center […]