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Combining Genetic Algorithm and Simulated Annealing Methods for Reconstructing HV-Convex Binary Matrices

机译:结合遗传算法和模拟退火方法来重建HV-CONVEX二进制矩阵

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摘要

In this paper, we consider the discrete tomography problem (DTP), namely reconstruction convex binary matrices from their row and column sums respectively H and V, RBM(H, V). This is reformulated as an integer programming problem. Since the problem is NP-complete, a new hybrid genetic algorithm with simulated annealing algorithm is proposed to find an approximate solution.
机译:在本文中,我们考虑离散断层扫描问题(DTP),即从它们的行和列和分别重建凸二进制矩阵H和V,RBM(H,V)。这是重构为整数编程问题。由于问题是NP-Tricep,因此提出了一种具有模拟退火算法的新的混合遗传算法来找到近似解。

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