A genetic algorithm to design industrial materials

  • Authors:

  • E. Tenorio;J. Gómez-Ruiz;J. I. Peláez;J. M. Doña

  • Affiliations:

  • Department of Languages and Computer Sciences, University of Malaga, Malaga, Spain;Department of Languages and Computer Sciences, University of Malaga, Malaga, Spain;Department of Languages and Computer Sciences, University of Malaga, Malaga, Spain;Department of Languages and Computer Sciences, University of Malaga, Malaga, Spain

  • Venue:
  • KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part III
  • Year:
  • 2010

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Abstract

At present, the development of our society is still marked by the need for lighter and stronger structures with a minimum manufacturing cost. The materials that are responding best to these needs are composite materials and as a result, these are replacing many traditional materials such as steel, wood or aluminium. Designing composite materials is difficult because it involves designing the geometry of the element and composition. Traditionally, due to the limited knowledge of these materials, these design tasks have been based on approximate methods; the possibilities for creating composite materials is almost unlimited, characterization by testing is very expensive and it is difficult to apply the results to other contexts. Due to this fact, the whole design task relies on the ability of an expert to select the best combination based on their knowledge and experience. This paper presents and compares a genetic Algorithm to design industrial materials.