基于Boykov-Kolmogorov最大流量算法的最终坑限优化

IF 1.1 Q3 MINING & MINERAL PROCESSING
A. Mwangi, Z. Jianhua, H. Gang, R. M. Kasomo, I. M. Matidza
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引用次数: 1

摘要

最终境界优化是矿山规划过程中的一个重要步骤。利用最大流量算法的各种方法,如伪流量算法和推重标记算法等,进行基坑优化,并取得了良好的效果。Boykov-Kolmogorov (BK)最大流量算法已被用于解决计算机视觉问题,并取得了很大的实际效果,但尚未在UPLO中得到应用。在这项工作中,我们在MATLAB软件中制定并使用MATLAB Boost Graph Library中的BK最大流量算法和push-relabel最大流量算法,以便在两个案例研究中执行upo。比较BK最大流量算法和推重标签最大流量算法的两种案例研究,得到相同的最大坑值,但BK最大流量算法在第一种情况下减少了12%的时间,在第二种情况下减少了16%的时间。BK最大流量算法的成功应用表明,该算法也可用于upo。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ultimate Pit Limit Optimization using Boykov-Kolmogorov Maximum Flow Algorithm
The ultimate pit limit optimization (UPLO) serves as an important step in the mine planning process. Various approaches of maximum flow algorithms such as pseudo-flow and push-relabel have been used for pit optimization, and have given good results. The Boykov-Kolmogorov (BK) maximum flow algorithm has been used in solving the computer vision problems and has given great practical results but it has never been applied in UPLO. In this work, we formulate and use the BK maximum flow algorithm and the push-relabel maximum flow algorithm in MATLAB Boost Graph Library within the MATLAB software in order to perform UPLO in two case studies. Comparing both case studies for the BK maximum flow algorithm and push-relabel maximum flow algorithm gives the same maximum pit values but the BK maximum flow algorithm reduces the time consumed by 12% in the first case and 16% in the second case. This successful application of the BK maximum flow algorithm shows that it can also be used in UPLO.
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来源期刊
Journal of Mining and Environment
Journal of Mining and Environment MINING & MINERAL PROCESSING-
CiteScore
1.90
自引率
25.00%
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