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Hybrid approach to tomographic reconstruction of bubbles in tow-phase flows using genetic algorithm

机译:基于遗传算法的两相流泡沫断裂重建杂种方法

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Main hurdles in the application of genetic algorithms to complex problems are two folds. One is the high computational cost due to their slow convergence rate. The other is to reduce the input parameters of a conventional genetic algorithm as inthe case of tomographic reconstruction of bubbles. In our present work great strides have been made to alleviate both the problems by using a Hybrid model of Algebraic Reconstruction Technique (ART), Simplex Method and Genetic Algorithm (GA).
机译:在遗传算法应用于复杂问题的主要障碍是两倍。一个是由于收敛速度缓慢的高计算成本。另一个是减少传统遗传算法的输入参数作为气泡断裂重建的情况。在我们目前的工作中,已经通过使用代数重建技术(ART),单纯形和遗传算法(GA)来缓解这些问题。

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