Evolutionary algorithms (EAs) are heuristic algorithms inspired by natural evolution. They
are often used to obtain satisficing solutions in practice. In this paper, we investigate a …

Consolidation of multiple workloads, encapsulated in virtual machines (VMs), can
significantly improve efficiency in cloud infrastructures. But consolidation also introduces …

Nowadays, the substantially increasing optical remote sensing satellites are constantly
generating tremendous amount of images. However, superabundant images would easily …

Air pollution is one of the prime adverse environmental outcomes of urbanization and
industrialization. The first step toward air pollution mitigation is monitoring and identifying its …

Many-objective optimization (MaO) is a basic issue in various research areas. Although
Pareto optimality is a common criterion for MaO, it may bring many troubles when facing a …

Assuring security (in the form of attacking mode as well as in safeguard mode) and at the
same time keeping strong eye on the opposition's status (position, quantity, availability) is …

We consider greedy algorithms that allow partial regret. As an example we consider a
variant of the cheapest insertion algorithm for the TSP. Our numerical study indicates that in …

The active scene flow estimation technology aims at higher quality of scene flow data
through actively changing the ego-vehicle's trajectory as well as sensor observation …

Background Metagenomic profiling algorithms commonly rely on genomic differences
between lineages, strains, or species to infer the relative abundances of sequences present …

Quantum device characterization via state tomography plays an important role in both
validating quantum hardware and processing quantum information, but it needs the …