Particle swarm optimization for automatic creation of complex graphic characters

Iztok Fister, Matjaž Perc, Karin Ljubič, Salahuddin M. Kamal, Andres Iglesias and Iztok Fister

Chaos, Solitons & Fractals, 2015, vol. 73, issue C, 29-35

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.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:73:y:2015:i:c:p:29-35

DOI: 10.1016/j.chaos.2014.12.019

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