JOURNAL OF COMPUTERS (JCP)
ISSN : 1796-203X
Volume : 4    Issue : 8    Date : August 2009

Evolving Optimization to Improve Diorama’s Representation using a Mosaic Image
Simonné Suarent, Alberto Ochoa, S. Jöns, Fernando Montes, and Alessandra Spianetta
Page(s): 734-737
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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