Naslov
On Evolutionary Metaheuristic Optimization Approaches in Data-Driven Signal Processing Techniques
(On Evolutionary Metaheuristic Optimization Approaches in Data-Driven Signal Processing Techniques)

Autori
Lopac, Nikola ; Lerga, Jonatan ; Jurdana, Irena

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
My First Conference 2021 – Book of Abstracts / Grbčić, Ana ; Lopac, Nikola ; Strabić, Marko ; Dugonjić Jovančević, Sanja ; Franulović, Marina ; Vukelić, Goran - Rijeka : Pomorski fakultet Sveučilišta u Rijeci, 2021, 27-27

ISBN
978-953-165-136-3

Skup
5th edition of annual conference for doctoral students of engineering and technology „MY FIRST CONFERENCE“

Mjesto i datum
Rijeka, Hrvatska, 23.09.2021

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Domaća recenzija

Ključne riječi
signal processing ; data-driven algorithms ; evolutionary metaheuristic optimization ; particle swarm optimization ; genetic algorithm

Sažetak
Data-driven signal processing techniques are used for many practical applications in various fields [1]. Due to their local-adaptive properties, these techniques enable processing noisy signals, regardless of knowledge of the signal models and characteristics [2]. The performance of the data-driven methods depends on the proper selection of algorithm parameters [3, 4]. Besides the extensive grid search in the parameter space, the advanced evolutionary metaheuristic optimization techniques, such as particle swarm optimization (PSO)-based algorithms and genetic algorithms (GA) [5], can also be an efficient solution for parameter optimization. This work considers some aspects of their implementation.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo

POVEZANOST RADA