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Finding maximum independent sets in graphs arising from coding theory

机译:从编码理论中找出图中的最大独立集

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New results are presented concerning binary correcting codes, such as deletion-correcting codes, transposition-correction codes, and codes for the Z-channel. These codes are important due to the possibility of packet loss and corruption on internet transmissions. It is known that the problem of finding the largest correcting codes can be reduced to a well-known combinatorial optimization problem on graphs, the maximum independent set problem. A general scheme of organizing a local search for the maximum independent set problem is discussed. Based on the developed heuristics, an exact branch-and-bound algorithm is proposed, which is able to find exact solutions for graphs with over 500 vertices within a reasonable time.
机译:提出了有关二进制校正码的新结果,例如删除校正码,转置校正码和Z通道码。这些代码之所以重要,是因为可能会丢失数据包和互联网传输中的损坏。已知可以将找到最大校正码的问题简化为图上众所周知的组合优化问题,即最大独立集问题。讨论了组织针对最大独立集问题的本地搜索的一般方案。基于发展的启发式算法,提出了一种精确的分支定界算法,该算法能够在合理的时间内找到具有500个以上顶点的图的精确解。

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