Abstract Context: Latent Dirichlet Allocation (LDA) has been successfully used in the
literature to extract topics from software documents and support developers in various …

We extend the small set of ordered structures (SSOS) method to calculate several typical
materials properties of high entropy alloys (HEAs) with short range order (SRO). Using both …

In this work, the small set of ordered structures (SSOS) method, which was initially
developed for equimolar high entropy alloys (HEAs) in solid solution phase, is extended to …

The proposed new technologies in the context of industry 4.0 challenge the current practices
of scheduling in industry and their associated research in academia. The conventional …

The goal of optimizing the best acceptable answer is according to the limitations and needs
of the problem. For a problem, there are several different answers that are defined to …

The resource optimization of ultra-dense networks (UDNs) is critical to meet the huge
demand of users for wireless data traffic. But the mainstream optimization algorithms have …

This paper proposes a hybrid optimization algorithm combining particle swarm optimization
(PSO) with genetic algorithm (GA) to update a railway bridge. PSO is an evolutionary …

The ongoing deep learning revolution has allowed computers to outclass humans in various
games and perceive features imperceptible to humans during classification tasks. Current …

Mutation and recombination operators play a key role in determining the performance of
Genetic and Evolutionary Algorithms (GEAs). Prior work has analyzed the effects of these …

Genetic algorithms are a type of optimization algorithm, meaning they are used to find the
maximum or minimum of a function. In this paper we introduce, illustrate, and discuss …