¹Technology University of Mauritius, Campus Curepipe, Mauritius
²Instituto de Ingeniería y Tecnología, Universidad Autónoma de Ciudad Juárez; México
³CIATEC A.C. (Centro CONACYT), León, Gto., México
⁴Institute of Cognitive Sciences and Technologies, CNR. Roma, Italy
⁵Cape Town University, Cape Town; South-Africa

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Abstract—Evolving Optimization is a generic term used to make reference to the solution of planned and implemented computational problems with base in models of an evolutionary process. Most of the bioinspired algorithms, propose biological paradigms, and the concepts of natural selection, mutation, migration and reproduction or using other techniques are with a novel paradigm as Bacterial Foraging [8], which is based on only a small part in biology, and focus more on a branch of which this is biotechnology. Nevertheless, other paradigms exist that can be adopted in the creation of evolutionary algorithms. Many environment problems involve not structured knowledge, which can be considered from the perspective of cultural paradigms; the cultural paradigms offer an ample range of categorized models that do not know the possible solutions to the problem - a situation common in the real world.
The intention of the present research is to apply the computational properties of the cultural technology; in this case of corroborating of them by means of Social Data Mining to propose the solution to a specific problem, adapted from the Literature about Social Modelling. Combined with this, we analyzed the location of a society represented with its starship with respect to the social and cultural similarity of its neighbors, in a form of popular representation denominated Diorama. The set of study conformed by 95 societies (each society with a starship documented in [3]) allowed to analyze the social characteristics without affecting the extreme total of the sense of the Mosaic Image which represents the Diorama (what this it represents of all of them), and gave the opportunity us to emulate the distances that separate to each one of them and as these are grouped with respect to cluster that they belong. Demonstrating that ideological, social and cultural characteristic exist whose approximate them and as well they move away them. By means of this information it is possible to predict the best visualization of a Mosaic Image which represent a diorama, redistributing to the starships that conform it, this paper tries to explain this representation of social behavior.

Index Terms—Algorithms, Pattern Recognition, Image Mosaic and Social networks.

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Cite: Simonné Suarent, Alberto Ochoa, S. Jöns, Fernando Montes, Alessandra Spianetta, "Evolving Optimization to Improve Diorama’s Representation using a Mosaic Image," Journal of Computers vol. 4, no. 8, pp. 734-737, 2009.