Cost Minimum Proportioning of Non-Slump Concrete Mix Using Genetic Algorithms
This paper presents a generalized formulation for determining the optimal quantity of the materials used to produce Non-Slump Concrete with minimum possible cost. The proposed problem is formulated as a nonlinear constrained optimization problem. The proposed problem considers cost of the individual constituent material costs as well as the compressive strength and other requirement. The optimization formulation is employed to minimize the cost function of the system while constraining it to meet the compressive strength and workability requirement. The results demonstrate the efficiency of the proposed approach to reduce the cost as well as to satisfy the above requirement.
Wenzhe Chen, Pinqiang Dai, Yonglu Chen, Dingning Chen and Zhengyi Jiang
M. M. Rahman and M. Z. Jumaat, "Cost Minimum Proportioning of Non-Slump Concrete Mix Using Genetic Algorithms", Advanced Materials Research, Vols. 468-471, pp. 50-54, 2012