Multi-objective evolutionary algorithms (MOEAs) have been successfully applied for the
numerical treatment of multi-objective optimization problems (MOP) during the last three …

Recently, the Hypervolume Newton Method (HVN) has been proposed as a fast and precise
indicator-based method for solving unconstrained bi-objective optimization problems with …

The multi-objective portfolio optimization problem with fuzzy trapezoidal parameters involves
a search for a subset of projects that, within the given available resources, maximizes the …

Abstract In [[3]], Perez-Villafuerte et al. propose a new hybrid multi-objective optimization
evolutionary algorithm, called P-HMCSGA, that allows the incorporation of decision makers' …

The multi-objective portfolio optimization problem with fuzzy trapezoidal parameters is a
variant of the classical portfolio optimization NP-hard problem that considers the uncertainty …

El problema de selección de cartera de proyectos, al igual que todas aquellas situaciones
que involucran la inversión de recursos, representa un proceso de vital importancia para las …