Iztok Fister (Author), Matjaž Perc (Author), Karin Fister (Author), Salahuddin M. Kamal (Author), Andres Iglesias (Author), Iztok Fister (Author)

Abstract

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.

Keywords

optimizacija roja;kompleksni sistem;kaos;particle swarm optimization;complex system;graphics;chaos;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UM FERI - Faculty of Electrical Engineering and Computer Science
UDC: 53
COBISS: 21124872 Link will open in a new window
ISSN: 0960-0779
Views: 1164
Downloads: 87
Average score: 0 (0 votes)
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Other data

Secondary language: Unknown
URN: URN:SI:UM:
Type (COBISS): Not categorized
Pages: str. 29-35
Issue: ǂVol. ǂ73
Chronology: Apr. 2015
DOI: 10.1016/j.chaos.2014.12.019
ID: 9142737