Distribution and Selection of Colors on a Diorama to Represent Social Issues Using Cultural Algorithms and Graph Coloring

  • Víctor Ricardo Cruz-Álvarez
  • Fernando Montes-Gonzalez
  • Alberto Ochoa
  • Rodrigo Edgar Palacios-Leyva
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 151)


We present a problem know in writing about social modeling associated with the adequate distribution and color selection of societies in a diorama to specify relationships between them; and also between their principal attributes to represent the symbolic capital of a society. Our case study is related to the diversity of cultural patterns described in Memory Alpha. Thus, we use 8 principal attributes with a range of 64 colors. The purpose of this research is to apply the cultural algorithms approach with color graph to solve the proposed problem and subsequently represent the solution within a diorama. The Memory Alpha is conformed by 1087 societies, which permits to demonstrate that the matching of social issues allows correct distribution and color selection. In summary we are proposing an innovative representation for societies location.


Orthogonal Array Multiagents System Color Graph Acceptance Function Symbolic Capital 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Víctor Ricardo Cruz-Álvarez
    • 1
  • Fernando Montes-Gonzalez
    • 1
  • Alberto Ochoa
    • 2
  • Rodrigo Edgar Palacios-Leyva
    • 1
  1. 1.Universidad VeracruzanaXalapaMéxico
  2. 2.Universidad Autónoma de Ciudad JuárezCiudad JuárezMéxico

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