Fixed-Parameter Tractability of the (1 + 1) Evolutionary Algorithm on Random Planted Vertex Covers

Fixed-Parameter Tractability of the (1 + 1) Evolutionary Algorithm on Random Planted Vertex Covers
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随机种植顶点覆盖的(1 1)进化算法的定参数易处理性

DOI:
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发表时间:
2023
期刊:
Foundations of Genetic Algorithms
影响因子:
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通讯作者:
Andrew M. Sutton
Andrew M. Sutton
中科院分区:
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文献类型:
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作者:
Jack Kearney;F. Neumann;Andrew M. Sutton

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我们提出了第一个参数化分析的标准(1+1)进化算法的分布顶点覆盖问题。我们表明,如果种植覆盖是最多对数,重新启动(1+1)EA每O(n log n)步骤将找到一个覆盖至少一样小的种植覆盖在多项式时间足够密集的随机图p > 0.71。对于超对数种植覆盖,我们证明了(1+1)EA在期望的固定参数易于处理的时间内找到解。我们补充这些理论研究与一些计算实验,突出种植覆盖面积,图形密度和运行时间之间的相互作用。
We present the first parameterized analysis of a standard (1+1) Evolutionary Algorithm on a distribution of vertex cover problems. We show that if the planted cover is at most logarithmic, restarting the (1+1) EA every O(n log n) steps will find a cover at least as small as the planted cover in polynomial time for sufficiently dense random graphs p > 0.71. For superlogarithmic planted covers, we prove that the (1+1) EA finds a solution in fixed-parameter tractable time in expectation. We complement these theoretical investigations with a number of computational experiments that highlight the interplay between planted cover size, graph density and runtime.
DOI: 10.1145/2460239.2460248
发表时间: 2013-01
期刊: --
影响因子: --
作者:
T. Jansen;P. S. Oliveto;C. Zarges
通讯作者: T. Jansen;P. S. Oliveto;C. Zarges