Optimal proportioning of concrete aggregates using a self-adaptive genetic algorithm
Adil Amirjanov,Konstantin Sobolev
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
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