Computers and Concrete

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Optimal proportioning of concrete aggregates using a self-adaptive genetic algorithm

  • Amirjanov, Adil (Department of Computer Engineering, Near East University) ;
  • Sobol, Konstantin (Facultad de Ingenieria Civil, Universidad Autonoma de Nuevo Leon)
  • Received : 2005.03.17
  • Accepted : 2005.09.22
  • Published : 2005.10.25
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Abstract

A linear programming problem of the optimal proportioning of concrete aggregates is discussed; and a self-adaptive genetic algorithm is developed to solve this problem. The proposed method is based on changing a range of variables for capturing the feasible region of the optimum solution. A computational verification of this method is compared with the results of the linear programming.

Keywords

References

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