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

This paper proposes the combination of two model-free controller tuning techniques, namely
linear virtual reference feedback tuning (VRFT) and nonlinear state-feedback Q-learning …

The isometric mapping (Isomap) algorithm is often used for analysing hyperspectral images.
Isomap allows to reduce such hyperspectral images from a high-dimensional space into a …

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 …

In many decision making problems, a decision maker needs computer support in finding a
good compromise between multiple conflicting objectives that need to be optimized …

The traditional methods used for presenting and visualizing the non-dominating solutions in
multi-objective electric machine optimization problems mainly include the parallel …

Multi-modal biometric verification systems use information from several biometric modalities
to verify an identity of a person. The false acceptance rate (FAR) and false rejection rate …

Multimodal biometric verification systems use information from several biometric modalities
to verify an identity of a person. The false acceptance rate (FAR) and false rejection rate …

Multiobjective optimization started as a mathematical discipline, is gradually becoming a
multidisciplinary field of study, finding its place in operational research, multiple criteria …

Reducir la dimensionalidad de un conjunto grande de datos es de especial interés en
muchos campos, tales como psicologıa, sociologıa o análisis de mercados. De entre todas …