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Rules for Biologically Inspired Adaptive Network Design Atsushi Tero, et al. Science 327, [removed]); DOI: [removed]science[removed]This copy is for your personal, non-commercial use only.
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Saitama / Sapporo / San Francisco / Tucson / Hiroshima / Pasadena / Oxford / Tokyo / Washington / DC / Lisbon / London / /

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Japan / Portugal / United Kingdom / Singapore / /

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Research Institute / Hiroshima University / Hokkaido University / Space Science Institute / Heathrow Terminal / University of Oxford / Plant Sciences / University of Tokyo / University of Electro-Communications / /

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ransport networks / real-world infrastructure networks / rail network / fermionic systems / local internal energy / network solutions / free energy / financial systems / real rail network / online version / entropy-energy relations / neural networks / chemical potential / discovered food sources / Online Material / anthropogenic infrastructure systems / food sources / reference networks / reasonable solutions / wireless mesh networks / energy / airline baggage-handling systems / outer-satellite impacts / shortest possible network / trapped gas / Biological networks / distributed food sources / food source / ant colony optimization algorithms / internal energy / genetic algorithms / search routines / social and biological systems / mobile ad hoc networks / final network solution / actual rail network / rum networks / tubular network / real rail networks / connected network / starting point to improve routing protocols / model network / meshed network / /

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Independent Investigation Board / Stationery Office / University of Tokyo / House of Commons Transport Committee / Japan Science and Technology Agency / Univ. of Arizona Press / Department of Physics / University of Oxford / Research Institute for Electronic Science / American Association for the Advancement of Science / Hiroshima University / National Aeronautics and Space Administration / University of Electro-Communications / Hokkaido University / Exploratory Research for Advanced Technology / Space Science Institute / European Union / office of Rail Regulation / 3Graduate School of Engineering / German Aerospace Center / Astronomical Society of the Pacific / /

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B. J. Buratti / Atsushi Tero / Physarum / Steve Ostro / /

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biologically inspired model for adaptive network development / /

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Arizona / /

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Physica A / Soft Matter / /

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ant colony optimization algorithms / html / alternative protocol / thermodynamics / simulation / /

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