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Network theory / Community structure / Modular design / Structure / Engineering / Systems science / Holism / Algebraic graph theory / Modularity


Document Date: 2015-03-11 23:25:44

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City

Sunderland / New York / Ithaca / /

Company

Neural Networks / MIT Press / CRC Press / Oxford University Press / N umberOf Solutions / Trials / /

Country

France / Jordan / United States / /

Facility

D.H. Hall / Prentice Hall / Cornell University / /

IndustryTerm

genetic regulatory networks / within-life learning algorithm / protein interaction networks / random search / show networks / non-modular networks / nervous systems / possible network / lowest cost networks / gene regulatory network / computational evolving systems / biological systems / non-modular solutions / genetic regulatory network / evolutionary algorithm / bacterial metabolic networks / multi-objective evolutionary algorithm / natural systems / non-dominated solutions / specific multi-objective algorithm / evolutionary algorithms / neuronal networks / biological neuronal network / energy / performing solutions / Example biological systems / computational systems / optimization using evolutionary algorithms / possible solution / nd high-performing solutions / biological networks / uid transport systems / manufacturing connections / environmental chemicals / random search fail / social networks / multi-objective algorithms / metabolic networks / performing networks / search space / evolved networks / random networks / learning algorithms / /

Organization

Royal Society of London / Universite Pierre / National Science Foundation / Cognitive Science Society / MIT / PA PA / National Academy of Sciences / Cornell University / Comprehensive Foundation / Oxford University / /

Person

Arend Hintze / Yong-Yeol Ahn / Ashish Raj / Dusan Misevic / Zekeria Mokhtarzada / Rafael Sanju / Raul RodriguezEsteban / Gunter P Wagner / Christopher Cherniak / Uri Alon / Kelly Changizi / D.B. Chklovskii / C.F. Stevens / Terrence J Sejnowski / Beom Jun Kim / Marie Curie-Paris / Elad Noor / Mihaela Pavlicev / Nadav Kashtan / Thomas Schikorski / Simon B Laughlin / Hawoong Jeong / Nicolas Moya / Dmitri B Chklovskii / Shimon Whiteson / James M Cheverud / Lawrence Erlbaum / Christoph Adami / /

Position

driver / engineer / Fisher / G.P. / /

ProvinceOrState

New York / Pennsylvania / Massachusetts / /

PublishedMedium

Physica A / Journal of Cognitive Neuroscience / Proceedings of the National Academy of Sciences / Proceedings of the Royal Society / Nature Reviews Genetics / /

Technology

within-life learning algorithm / neuroscience / multi-objective evolutionary algorithm / evolutionary algorithm / 5 evolutionary algorithms / metabolic networks / during-life learning algorithms / MOLE algorithm / Multi-objective optimization using evolutionary algorithms / neural network / specific multi-objective algorithm / avi / multi-objective algorithms / been generated using the MOLE algorithm / /

URL

http /

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