Optimal proportioning of concrete aggregates using a self-adaptive genetic algorithm
Source abstract
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.
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Research context
OpenAlex topics: Advanced Multi-Objective Optimization Algorithms · Topology Optimization in Engineering · Advanced Optimization Algorithms Research
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References (14)
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