A survey on particle swarm optimization with emphasis on engineering and network applications

M Elbes, S Alzubi, T Kanan, A Al-Fuqaha… - Evolutionary …, 2019 - Springer
Swarm intelligence is a kind of artificial intelligence that is based on the collective behavior
of the decentralized and self-organized systems. This work focuses on reviewing a heuristic …

Graphics processing units in bioinformatics, computational biology and systems biology

MS Nobile, P Cazzaniga, A Tangherloni… - Briefings in …, 2017 - academic.oup.com
Abstract Several studies in Bioinformatics, Computational Biology and Systems Biology rely
on the definition of physico-chemical or mathematical models of biological systems at …

Fuzzy Self-Tuning PSO: A settings-free algorithm for global optimization

MS Nobile, P Cazzaniga, D Besozzi, R Colombo… - Swarm and evolutionary …, 2018 - Elsevier
Among the existing global optimization algorithms, Particle Swarm Optimization (PSO) is
one of the most effective methods for non-linear and complex high-dimensional problems …

A survey on GPU-based implementation of swarm intelligence algorithms

Y Tan, K Ding - IEEE transactions on cybernetics, 2015 - ieeexplore.ieee.org
Inspired by the collective behavior of natural swarm, swarm intelligence algorithms (SIAs)
have been developed and widely used for solving optimization problems. When applied to …

Comprehensive review of models and methods for inferences in bio-chemical reaction networks

P Loskot, K Atitey, L Mihaylova - Frontiers in genetics, 2019 - frontiersin.org
The key processes in biological and chemical systems are described by networks of
chemical reactions. From molecular biology to biotechnology applications, computational …

The impact of particles initialization in PSO: parameter estimation as a case in point

P Cazzaniga, MS Nobile… - 2015 IEEE Conference on …, 2015 - ieeexplore.ieee.org
Despite the intense research focused on the investigation of the functioning settings of
Particle Swarm Optimization, the particles initialization functions-determining the initial …

Computational strategies for a system-level understanding of metabolism

P Cazzaniga, C Damiani, D Besozzi, R Colombo… - Metabolites, 2014 - mdpi.com
Cell metabolism is the biochemical machinery that provides energy and building blocks to
sustain life. Understanding its fine regulation is of pivotal relevance in several fields, from …

[LIBRO][B] Lectures on Intelligent Systems

L Vanneschi, S Silva - 2023 - Springer
Computer science is the science that deals with the treatment of information by means of
automatic procedures. It has multiple objectives, including the study of computation at a …

[LIBRO][B] Swarm intelligence: An approach from natural to artificial

KS Kaswan, JS Dhatterwal, A Kumar - 2023 - books.google.com
SWARM INTELLIGENCE This important authored book presents valuable new insights by
exploring the boundaries shared by cognitive science, social psychology, artificial life …

cuTauLea**: A GPU-powered tau-lea** stochastic simulator for massive parallel analyses of biological systems

MS Nobile, P Cazzaniga, D Besozzi, D Pescini… - PLoS …, 2014 - journals.plos.org
Tau-lea** is a stochastic simulation algorithm that efficiently reconstructs the temporal
evolution of biological systems, modeled according to the stochastic formulation of chemical …