计算机工程与应用 ›› 2018, Vol. 54 ›› Issue (15): 34-37.DOI: 10.3778/j.issn.1002-8331.1711-0259
• 理论与研发 • 上一篇 下一篇
王 蓉,惠小静,井 美
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WANG Rong, HUI Xiaojing, JING Mei
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摘要: 鲁棒性是评价算法优劣的一个重要标准。以平均逻辑相似度为衡量扰动的指标,分别讨论了α-反向三I支持算法和α-反向三I约束算法的鲁棒性,结论表明FMP(FMT)问题的α-反向三I支持算法和α-反向三I约束算法具有相同的鲁棒性。
关键词: 鲁棒性, 平均逻辑相似度, &alpha, -反向三I支持算法, &alpha, -反向三I约束算法
Abstract: Robustness is an important criterion for evaluating the performance of an algorithm. This paper discusses the robustness of the[α]-reverse triple I sustaining methods and [α]-reverse triple I restriction algorithm by means of the average logical similarity. It shows that the [α]-reverse triple I sustaining methods of FMP(FMT) has the same robustness as the [α]-reverse triple I restriction algorithm.
Key words: robustness, average logical similarity, [α]-reverse triple I sustaining methods, [α]-reverse triple I restriction methods
王 蓉,惠小静,井 美. 基于平均逻辑相似度的α-反向三I算法的鲁棒性[J]. 计算机工程与应用, 2018, 54(15): 34-37.
WANG Rong, HUI Xiaojing, JING Mei. Robustness of α-reverse triple I methods based on average logic similarity[J]. Computer Engineering and Applications, 2018, 54(15): 34-37.
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链接本文: http://cea.ceaj.org/CN/10.3778/j.issn.1002-8331.1711-0259
http://cea.ceaj.org/CN/Y2018/V54/I15/34