Computational Intelligence methods, which include Evolutionary Computation and Swarm
Intelligence, can efficiently and effectively identify optimal solutions to complex optimization …

Many researchers have used fuzzy set theory and fuzzy logic in a variety of applications
related to computer science and engineering, given the capability of fuzzy inference systems to …

In the field of Systems Biology, simulating the dynamics of biochemical models represents
one of the most effective methodologies to understand the functioning of cellular processes in …

Neuromorphic computing offers the opportunity to curtail the huge energy demands of
modern artificial intelligence (AI) applications by implementing computations into new, brain‐…

Living in the era of "data deluge" demands for an increase in the application and development
of machine learning methods, both in basic and applied research. Among these methods, …

Background In order to fully characterize the genome of an individual, the reconstruction of
the two distinct copies of each chromosome, called haplotypes, is essential. The …

Clustering analysis is an important computational task that has applications in many
domains. One of the most popular algorithms to solve the clustering problem is fuzzy c-means, …

Several software tools for the simulation and analysis of biochemical reaction networks
have been developed in the last decades; however, assessing and comparing their …

Several mathematical formalisms can be exploited to model complex systems, in order to
capture different features of their dynamic behavior and leverage any available quantitative or …

Fuzzy inference systems (FIS) gained popularity and found application in several fields of
science over the last years, because they are more transparent and interpretable than other …