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Book Chapter: A Genetic Algorithm for Optimal Control of Probabilistic Boolean Networks
Title | A Genetic Algorithm for Optimal Control of Probabilistic Boolean Networks |
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Authors | |
Issue Date | 2008 |
Publisher | World Publishing Corporation. |
Citation | A Genetic Algorithm for Optimal Control of Probabilistic Boolean Networks. In Zhang, X, Chen, L, Wu, L et al. (eds.), Optimization and Systems Biology-The Second International Symposium, OSB'08, Lijiang, China, October 31-November 3, 2008, Proceedings, p. 29-35. World Publishing Corporation, 2008 How to Cite? |
Abstract | We study the problem of finding optimal control policies for Probabilistic Boolean Networks
(PBNs). Boolean Networks (BNs) and PBNs are effective tools for modeling genetic regulatory
networks. A PBN is a collection of BNs driven by a Markov chain process. It is well-known
that the control/intervention of a genetic regulatory network is useful for avoiding undesirable states
associated with diseases like cancer. The optimal control problem can be formulated as a probabilistic
dynamic programming problem. However, due to the curse of dimensionality, the complexity
of the problem is huge. The main objective of this paper is to introduce a Genetic Algorithm (GA)
approach for the optimal control problem. Numerical results are given to demonstrate the efficiency
of our proposed GA method. |
Persistent Identifier | http://hdl.handle.net/10722/64489 |
ISBN |
DC Field | Value | Language |
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dc.contributor.author | Ching, WK | en_HK |
dc.contributor.author | Leung, HY | en_HK |
dc.contributor.author | Zhang, S | en_HK |
dc.contributor.author | Tsing, NK | en_HK |
dc.date.accessioned | 2010-07-13T04:51:56Z | - |
dc.date.available | 2010-07-13T04:51:56Z | - |
dc.date.issued | 2008 | en_HK |
dc.identifier.citation | A Genetic Algorithm for Optimal Control of Probabilistic Boolean Networks. In Zhang, X, Chen, L, Wu, L et al. (eds.), Optimization and Systems Biology-The Second International Symposium, OSB'08, Lijiang, China, October 31-November 3, 2008, Proceedings, p. 29-35. World Publishing Corporation, 2008 | en_HK |
dc.identifier.isbn | 978-7-5062-9289-4/O639 | - |
dc.identifier.uri | http://hdl.handle.net/10722/64489 | - |
dc.description.abstract | We study the problem of finding optimal control policies for Probabilistic Boolean Networks (PBNs). Boolean Networks (BNs) and PBNs are effective tools for modeling genetic regulatory networks. A PBN is a collection of BNs driven by a Markov chain process. It is well-known that the control/intervention of a genetic regulatory network is useful for avoiding undesirable states associated with diseases like cancer. The optimal control problem can be formulated as a probabilistic dynamic programming problem. However, due to the curse of dimensionality, the complexity of the problem is huge. The main objective of this paper is to introduce a Genetic Algorithm (GA) approach for the optimal control problem. Numerical results are given to demonstrate the efficiency of our proposed GA method. | - |
dc.language | eng | en_HK |
dc.publisher | World Publishing Corporation. | en_HK |
dc.relation.ispartof | Optimization and Systems Biology-The Second International Symposium, OSB'08, Lijiang, China, October 31-November 3, 2008, Proceedings | - |
dc.title | A Genetic Algorithm for Optimal Control of Probabilistic Boolean Networks | en_HK |
dc.type | Book_Chapter | en_HK |
dc.identifier.email | Ching, WK: wching@HKUCC.hku.hk | en_HK |
dc.identifier.email | Leung, HY: obliging@hkusua.hku.hk | en_HK |
dc.identifier.email | Tsing, NK: nktsing@hku.hk | en_HK |
dc.identifier.authority | Ching, WK=rp00679 | en_HK |
dc.identifier.authority | Tsing, NK=rp00794 | en_HK |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.hkuros | 153459 | en_HK |