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Volumn , Issue , 2013, Pages 143-178

Agent-Based Models and Optimal Control in Biology: A Discrete Approach

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EID: 84882748507     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1016/B978-0-12-415780-4.00005-3     Document Type: Chapter
Times cited : (14)

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    • A standard protocol for describing individual-based and agent-based models
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    • Grimm, V.1    Berger, U.2    Bastiansen, F.3
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    • 77954191450 scopus 로고    scopus 로고
    • Polynomial algebra of discrete models in systems biology
    • Alan Veliz-Cuba, Jarrah Abdul Salam, Laubenbacher Reinhard Polynomial algebra of discrete models in systems biology. Bioinformatics 2010, 26:1637-1643.
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    • University of Michigan Press, Ann Arbor, Mich., [An introductory analysis with applications to biology, control, and, artificial intelligence 51]
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    • Dorigo Marco, Caro Gianni Di, Gambardella Luca M. Ant algorithms for discrete optimization. Artif Life 1999, 5:137-172.
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    • Evolutionary squeaky wheel optimization: a new analysis framework evolutionary computation; 2011. published online
    • Li Jingpeng, Parkes Andrew J, Burke Edmund K. Evolutionary squeaky wheel optimization: a new analysis framework evolutionary computation; 2011. published online.
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    • ADAM: analysis of discrete models of biological systems using computer algebra BMC
    • Hinkelmann Franziska, Brandon Madison, Guang Bonny, et al. ADAM: analysis of discrete models of biological systems using computer algebra BMC. Bioinformatics 2011, 12:295.
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    • A computational algebra approach to the reverse engineering of gene regulatory networks
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.