11 citations · 33 across the 13 of their papers we have counts for
15 papers
Synthesis and Characterisation of Iron Oxide Nanoparticles with Tunable Sizes by Hydrothermal Method
Ioannis Papagiannis, Mauro S. Innocente, Evangelos I. Gkanas
The present study investigates the effect of different reaction times on the crystallinity, surface morphology and size of iron oxide nanoparticles. In this synthetic system, aqueo…
Stigmergy-based collision-avoidance algorithm for self-organising swarms
Paolo Grasso, Mauro Sebastián Innocente
Real-time multi-agent collision-avoidance algorithms comprise a key enabling technology for the practical use of self-organising swarms of drones. This paper proposes a decentralis…
Particle Swarms Reformulated towards a Unified and Flexible Framework
Mauro Sebastián Innocente
The Particle Swarm Optimisation (PSO) algorithm has undergone countless modifications and adaptations since its original formulation in 1995. Some of these have become mainstream w…
Coefficients' Settings in Particle Swarm Optimization: Insight and Guidelines
Mauro S. Innocente, Johann Sienz
Particle Swam Optimization is a population-based and gradient-free optimization method developed by mimicking social behaviour observed in nature. Its ability to optimize is not sp…
Pseudo-Adaptive Penalization to Handle Constraints in Particle Swarm Optimizers
Mauro S. Innocente, Johann Sienz
The penalization method is a popular technique to provide particle swarm optimizers with the ability to handle constraints. The downside is the need of penalization coefficients wh…
Individual and Social Behaviour in Particle Swarm Optimizers
Johann Sienz, Mauro S. Innocente
Three basic factors govern the individual behaviour of a particle: the inertia from its previous displacement; the attraction to its own best experience; and the attraction to a gi…