Real-world optimization problems typically involve multiple objectives to be optimized
simultaneously under multiple constraints and with respect to several variables. While multi …

In this research, a methodology was developed to optimize the design of Warm Mix Asphalt
(WMA) with the inclusion of three recycled materials as partial replacement of natural …

The trade-offs for alternative grey-green infrastructure (HGGI) solutions between life cycle
cost (LCC) and systematic resilience may impose many limitations in planning and …

Uneven-aged mountain forests are considered favourable for the continuous provisioning of
multiple ecosystem services (ES). These ES may however exhibit trade-offs or synergies that …

Classical evolutionary multi-objective optimization algorithms aim at finding an
approximation of the entire set of Pareto optimal solutions. By considering the preferences of …

Most evolutionary multiobjective optimization algorithms are designed to approximate the
entire Pareto front. During the last decade, a series of preference-based evolutionary …

An appropriate visualization of multiobjective nondominated solutions is a valuable asset for
decision making. Although there are methods for visualizing the solutions in the design …

The reduction of the dimensionality is of great interest in the context of big data processing.
Multidimensional scaling methods (MDS) are techniques for dimensionality reduction, where …

Esta tesis doctoral presenta una propuesta para la optimización de la distribución de
mercancías utilizando un modelo genético multiobjetivo de inventario colaborativo de m …

Abstract [eng] Interactive methods of multiobjective optimization repetitively derive Pareto
optimal solutions based on decision maker's preference information and present the …