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A cyber-physical approach to combined HW-SW monitoring for improving energy efficiency in data centers

High-Performance Computing, Cloud computing and next-generation applications such e-Health or Smart Cities have dramatically increased the computational demand of Data Centers. The huge energy consumption, increasing levels of CO$_2$ and the economic …

EDA-Based Logistic Regression Applied to Biomarkers Selection in Breast Cancer

Logistic regression (LR) is a simple and efficient supervised learning algorithm for estimating the probability of an outcome variable. This algorithm is widely accepted and used in medicine for classification of diseases using DNA microarray data. …

Breast Cancer Biomarker Selection Using Multiple Offspring Sampling

Biomarkers are biochemical facets that can be used to measure different aspects of a disease. In the last years, there has been much interest in biomarkers of different cancer variants for predicting future patterns of disease. However, DNA Biomarker …

Extending the GA-EDA Hybrid Algorithm to Study Diversification and Intensification in GAs and EDAs

Hybrid metaheuristics have received considerable interest in recent years. Since several years ago, a wide variety of hybrid approaches have been proposed in the literature including the new GA-EDA approach. We have design and implemented an …

Using Genetic Algorithms to Improve Accuracy of Economical Indexes Prediction

All sort of organizations needs as many information about their target population. Public datasets provides one important source of this information. However, the use of these databases is very difficult due to the lack of cross-references. In …