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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重构HV-凸二元矩阵

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摘要

In this paper, we consider the discret 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,我们考虑了离散层析成像问题(DTP),即从行和列总和分别为H和V,RBM(H,V)重建凸二值矩阵。这被重新表述为整数编程问题。由于问题是NP完全的,因此提出了一种新的具有模拟退火算法的混合遗传算法来寻找近似解。

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