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	Optimal control of steady-state probability distributions of Probabilistic Boolean Networks
	Meng, Yang ; Rui, Li ; Tianguang, Chu
	2013
英文摘要	Probabilistic Boolean networks (PBNs) have been proved to be a useful tool for modeling genetic regulatory interactions. This letter investigates the issue concerning optimal control of steady-state probability distributions of PBNs. Using the recently proposed semi-tensor product technique, we establish a specific objective function and thus transform the issue concerned into an optimization problem in the algebraic form. Then we present a genetic algorithm to find the best solution which corresponds to control inputs that drive the PBN to desired steady-state probability distributions. Experiments and an example are provided to show the effectiveness of the proposed method. ? 2013 TCCT, CAA.; EI; 0
语种	英语
内容类型	会议论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/316764]
专题	工学院
推荐引用方式 GB/T 7714	Meng, Yang,Rui, Li,Tianguang, Chu. Optimal control of steady-state probability distributions of Probabilistic Boolean Networks[C]. 见:.

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