Displaying similar documents to “Multi-working modes product-color planning based on evolutionary algorithms and swarm intelligence.”

Analysis of the Distributions of Color Characteristics in Art Painting Images

Ivanova, Krassimira, Stanchev, Peter, Dimitrov, Boyan (2008)

Serdica Journal of Computing

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In this paper we study some of the characteristics of the art painting image color semantics. We analyze the color features of differ- ent artists and art movements. The analysis includes exploration of hue, saturation and luminance. We also use quartile’s analysis to obtain the dis- tribution of the dispersion of defined groups of paintings and measure the degree of purity for these groups. A special software system “Art Paint- ing Image Color Semantics” (APICSS) for image analysis...

Processing of Byzantine Neume Notation in Ancient Historical Manuscripts

Laskov, Lasko (2011)

Serdica Journal of Computing

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This article presents the principal results of the doctoral thesis “Recognition of neume notation in historical documents” by Lasko Laskov (Institute of Mathematics and Informatics at Bulgarian Academy of Sciences), successfully defended before the Specialized Academic Council for Informatics and Mathematical Modelling on 07 June 2010. Byzantine neume notation is a specific form of note script, used by the Orthodox Christian Church since ancient times until nowadays for writing...

Advances in parallel heterogeneous genetic algorithms for continuous optimization

Enrique Alba, Francisco Luna, Antonio Nebro (2004)

International Journal of Applied Mathematics and Computer Science

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In this paper we address an extension of a very efficient genetic algorithm (GA) known as Hy3, a physical parallelization of the gradual distributed real-coded GA (GD-RCGA). This search model relies on a set of eight subpopulations residing in a cube topology having two faces for promoting exploration and exploitation. The resulting technique has been shown to yield very accurate results in continuous optimization by using crossover operators tuned to explore and exploit the solutions...