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1.
Discovering associations in COVID-19 related research papers
Iztok Fister, Karin Fister, Iztok Fister, 2020, elaborat, predštudija, študija

Ključne besede: data science, metro maps, optimization
Objavljeno: 15.03.2021; Ogledov: 309; Prenosov: 18
.pdf Celotno besedilo (475,27 KB)
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2.
Towards the novel reasoning among particles in PSO by the use of RDF and SPARQL
Iztok Fister, Xin-She Yang, Karin Ljubič Fister, Dušan Fister, Janez Brest, Iztok Fister, 2014, izvirni znanstveni članek

Opis: The significant development of the Internet has posed some new challenges and many new programming tools have been developed to address such challenges. Today, semantic web is a modern paradigm for representing and accessing knowledge data on the Internet. This paper tries to use the semantic tools such as resource definition framework (RDF) and RDF query language (SPARQL) for the optimization purpose. These tools are combined with particle swarm optimization (PSO) and the selection of the best solutions depends on its fitness. Instead of the local best solution, a neighborhood of solutions for each particle can be defined and used for the calculation of the new position, based on the key ideas from semantic web domain. The preliminary results by optimizing ten benchmark functions showed the promising results and thus this method should be investigated further.
Ključne besede: resource definition framework, SPARQL, best solutions, RDF, PSO
Objavljeno: 15.06.2017; Ogledov: 813; Prenosov: 367
.pdf Celotno besedilo (1,67 MB)
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3.
Particle swarm optimization for automatic creation of complex graphic characters
Iztok Fister, Matjaž Perc, Karin Fister, Salahuddin M. Kamal, Andres Iglesias, Iztok Fister, 2015, izvirni znanstveni članek

Opis: Nature-inspired algorithms are a very promising tool for solving the hardest problems in computer sciences and mathematics. These algorithms are typically inspired by the fascinating behavior at display in biological systems, such as bee swarms or fish schools. So far, these algorithms have been applied in many practical applications. In this paper, we present a simple particle swarm optimization, which allows automatic creation of complex two-dimensional graphic characters. The method involves constructing the base characters, optimizing the modifications of the base characters with the particle swarm optimization algorithm, and finally generating the graphic characters from the solution. We demonstrate the effectiveness of our approach with the creation of simple snowman, but we also outline in detail how more complex characters can be created.
Ključne besede: optimizacija roja, kompleksni sistem, kaos, particle swarm optimization, complex system, graphics, chaos
Objavljeno: 07.04.2017; Ogledov: 1061; Prenosov: 83
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