activity
20192025
most citedIntroducing languid particle dynamics to a selection of PSO variants

8 citations · 8 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CE2025

Randomness as Reference: Benchmark Metric for Optimization in Engineering

Stefan Ivić, Siniša Družeta, Luka Grbčić

Benchmarking optimization algorithms is fundamental for the advancement of computational intelligence. However, widely adopted artificial test suites exhibit limited correspondence…

cs.LG2022

Predictive modeling of microbiological seawater quality classification in karst region using cascade model

Ivana Lučin, Siniša Družeta, Goran Mauša +5

In this paper, an in-depth analysis of Escherichia coli seawater measurements during the bathing season in the city of Rijeka, Croatia was conducted. Submerged sources of groundwat…

stat.AP2021

Coastal water quality prediction based on machine learning with feature interpretation and spatio-temporal analysis

Luka Grbčić, Siniša Družeta, Goran Mauša +12

Coastal water quality management is a public health concern, as poor coastal water quality can harbor pathogens that are dangerous to human health. Tourism-oriented countries need…

cs.NE2020

Anakatabatic Inertia: Particle-wise Adaptive Inertia for PSO

Siniša Družeta, Stefan Ivić

Throughout the course of the development of Particle Swarm Optimization, particle inertia has been established as an important aspect of the method for researching possible method…

cs.NE2019★ 8 cited

Introducing languid particle dynamics to a selection of PSO variants

Siniša Družeta, Stefan Ivić, Luka Grbčić +1

Previous research showed that conditioning a PSO agent's movement based on its personal fitness improvement enhances the standard PSO method. In this article, languid particle dyna…