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Computers and Concrete Volume 2, Number 5, October 2005 , pages 411-421 DOI: https://doi.org/10.12989/cac.2005.2.5.411 |
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Optimal proportioning of concrete aggregates using a self-adaptive genetic algorithm |
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Adil Amirjanov and Konstantin Sobolev
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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. | ||
| Key Words | ||
| 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. | ||
| Address | ||
| Adil Amirjanov; Department of Computer Engineering, Near East University, Nicosia, N. Cyprus rnKonstantin Sobolev; Facultad de Ingenieria Civil, Universidad Autonoma de Nuevo Leon, AP #17, Ciudad Universitaria, San Nicol? de los Garza, NL, 66450, Mexico | ||