Peptide search engines are algorithms that are able to identify peptides (i.e., short proteins or parts of proteins) from mass spectra of biological samples. These identification algorithms report the best matching peptide for a given spectrum and a ...

Inside a "Bring Your Own Device" environment, the employees can freely use their devices. This allows them mix their personal and work life, but at the same time, if the users are not aware of a risky situation, or that situation is not covered by a ...

This paper introduces two new nominal NK Landscape model instances designed to mimic the properties of one challenging optimisation problem from biology: the Inverse Folding Problem (IFP), here focusing on a simpler secondary structure version. Through ...

We would all benefit if software were slimmer, thinner, and generally only did what we needed and nothing more. To this end, our research team has been exploring methods for removing unused and undesirable features from compiled programs. Our primary ...

Within the vehicle routing problem literature, the distance constrained vehicle routing problem (DCVRP) has its is importance due to its practical relevance of logistics operation. However, the DCVRP with the objective of minimizing the total traveling ...

Class imbalance is a problem that commonly affects 'real world' classification datasets, and has been shown to hinder the performance of classifiers. A dataset suffers from class imbalance when the number of instances belonging to one class outnumbers ...

The momentum parameter is common within numerous optimization and local search algorithms, particularly in the popular back propagation neural network learning algorithm. Computationally cheap and prevalent in gradient descent approaches, it is not ...

In this paper we propose an extension of the NM-landscape to model multi-objective problems (MOPs). We illustrate the link between the introduced model and previous landscapes used to study MOPs. Empirical results are presented for a variety of ...

Increased demands for energy are driving development of new technologies for power generation with high efficiency. Direct fired fuel cell turbine hybrid systems are one such development, which promise to drastically increase power generation efficiency,...

The aim of this paper is to estimate the extent of social specialization of residential space within the French Riviera metropolitan area. Unlike classical approaches, where social groups are pre-defined through given characteristics of households, our ...

We present an approach for the automatic solving of the scheduling and allocation problem in multicore environments, as well as assigning optimal voltage and frequency levels to each core, using a multiobjective evolutionary algorithm (EA) where both ...