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作 者:Jin-feng PAN Min MENG
机构地区:[1]School of Mathematics and Information Sciences,Weifang University,Weifang 261061,China [2]School of Electrical and Electronic Engineering,Nanyang Technological University,Singapore 639798,Singapore
出 处:《Frontiers of Information Technology & Electronic Engineering》2020年第2期294-303,共10页信息与电子工程前沿(英文版)
基 金:Project supported by the National Natural Science Foundation of China(No.61773371)。
摘 要:We investigate the problem of finding optimal one-bit perturbation that maximizes the size of the basin of attractions(BOAs)of desired attractors and minimizes the size of the BOAs of undesired attractors for large-scale Boolean networks by cascading aggregation.First,via the aggregation,a necessary and sufficient condition is given to ensure the invariance of desired attractors after one-bit perturbation.Second,an algorithm is proposed to identify whether the one-bit perturbation will cause the emergence of new attractors or not.Next,the change of the size of BOAs after one-bit perturbation is provided in an algorithm.Finally,the efficiency of the proposed method is verified by a T-cell receptor network.We investigate the problem of finding optimal one-bit perturbation that maximizes the size of the basin of attractions(BOAs) of desired attractors and minimizes the size of the BOAs of undesired attractors for large-scale Boolean networks by cascading aggregation. First, via the aggregation, a necessary and sufficient condition is given to ensure the invariance of desired attractors after one-bit perturbation. Second, an algorithm is proposed to identify whether the one-bit perturbation will cause the emergence of new attractors or not. Next, the change of the size of BOAs after one-bit perturbation is provided in an algorithm. Finally, the efficiency of the proposed method is verified by a T-cell receptor network.
关 键 词:Large-scale Boolean network Attractor CASCADING AGGREGATION One-bit PERTURBATION
分 类 号:O223[理学—运筹学与控制论]
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