Computers and Concrete

Volume 2, Number 5, 2005, pages 411-421

DOI: 10.12989/cac.2005.2.5.411

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.

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