Parameter tuning, that is, to find appropriate parameter settings (or configurations) of
algorithms so that their performance is optimized, is an important task in the development …

In this paper we present a conceptual framework for parameter tuning, provide a survey of
tuning methods, and discuss related methodological issues. The framework is based on a …

This work proposes the application of a new electroencephalogram (EEG) signal processing
tool-the lacsogram-to characterize the Alzheimer's disease (AD) activity and to assist on its …

Finding appropriate parameter values for evolutionary algorithms (EA) is one of the
persisting grand challenges of the evolutionary computing (EC) field. In general, EC …

Metaheuristic and heuristic methods have many tunable parameters, and choosing their
values can increase their ability to deal with hard optimization problems. Automated …

Process synthesis methods enable the determination of unit operations and their
interconnection into a process flowsheet, with associated design and operating parameters …

Objective: This study aims to distinguish, at early stages, patients with Alzheimer's disease
(AD), patients with Parkinson's disease (PD) and healthy control (CTL) subjects using a …

Neuroevolution represents a growing research field in Artificial and Computational
Intelligence. The adjustment of the network weights and the topology is usually based on a …

Even though only my name is on the cover of this thesis, many people contributed to it. I
would like to use this first section to acknowledge these contributions. First I would like to …

The grid infrastructure has evolved as the integration and collaboration of multiple computer
systems, networks, different databases and other network resources. The problem of …