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Packing degree optimization of arbitrary circle arrangements by genetic algorithm

机译:遗传算法优化任意圆排列的装箱度

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摘要

Selection of optimal aggregate proportions is the main part of the concrete mix design optimization. Assuming circular aggregates, a new Sequential Packing Algorithm (SPA) is proposed to densify arrangement of arbitrary circles. To achieve the densest packing of circles, the porosity packed circle assemblies is optimized by a Genetic Algorithm (GA) search module. Proper adjustment of the algorithm's parameters and selection of the initial population are effective tools for speeding up the computational progress. The model exactly solves known problems. Finally, Ideal-grading curve is presented after the implementation of GA on the data set.
机译:选择最佳骨料比例是混凝土配合比设计优化的主要部分。假设圆形聚合,提出了一种新的顺序打包算法(SPA)来压缩任意圆的排列。为了实现最密集的圆堆积,通过遗传算法(GA)搜索模块优化了孔隙堆积圆组件。适当调整算法参数和选择初始种群是加快计算进度的有效工具。该模型完全解决了已知问题。最后,在数据集上实施遗传算法后,给出了理想梯度曲线。

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