Soft computing, genetic algorithms and engineering problems: an example of application to minimize a cantilever wall cost

  • Authors:

  • Fernando Torrecilla-Pinero;Jesús A. Torrecilla-Pinero;Juan A. Gómez-Pulido;Miguel A. Vega-Rodríguez;Juan M. Sánchez-Pérez

  • Affiliations:

  • Dep. of Technologies of Computers and Communications, University of Extremadura, Spain;Dep. of Building, University of Extremadura, Spain;Dep. of Technologies of Computers and Communications, University of Extremadura, Spain;Dep. of Technologies of Computers and Communications, University of Extremadura, Spain;Dep. of Technologies of Computers and Communications, University of Extremadura, Spain

  • Venue:
  • IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part III
  • Year:
  • 2010

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Abstract

The present work offers an overview about the possibility of using a genetic algorithm as an optimization tool for minimizing the cost of a problem in the civil engineering area. Particularly, it goes into the efficiency aspects of the method. In the context of the used operators by applying the method, a new cross-over type operator is set out, and its efficiency on its application over a relatively simple problem is studied: cost minimization from a cantilever wall of reinforced concrete.