Design automation of multi-element gene circuits
Project/Area Number |
26280094
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Research Category |
Grant-in-Aid for Scientific Research (B)
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Allocation Type | Partial Multi-year Fund |
Section | 一般 |
Research Field |
Soft computing
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Research Institution | The University of Tokyo |
Principal Investigator |
Iba Hitoshi 東京大学, 大学院情報理工学系研究科, 教授 (40302773)
|
Project Period (FY) |
2014-04-01 – 2018-03-31
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Project Status |
Completed (Fiscal Year 2017)
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Budget Amount *help |
¥13,260,000 (Direct Cost: ¥10,200,000、Indirect Cost: ¥3,060,000)
Fiscal Year 2016: ¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2015: ¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2014: ¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
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Keywords | 遺伝的プログラミング / 進化計算 / 遺伝子ネットワーク / 進化発生アプローチ / 遺伝子アルゴリズム / 力学系 / 動的適応システム / 遺伝的アルゴリズム / Evo-Devアプローチ / 進化発達系 / 発生型アプローチ / 発生型システム / Evo-devアプローチ / 進化型ロボット |
Outline of Final Research Achievements |
As a result of the recent revival in Evo-Devo (Evolutionary Developmental Biology), dramatic changes are occurring in regard to our understanding of the genetic control networks of organisms. In this direction, there are high expectations for the application of gene regulatory networks (GRNs) to various fields, e.g., robotics, engineering design, architectures, etc., because of their intrinsic robustness and modularity as well as the possibility of evolution and compression of complex expression. We have established the evolutionary framework of GRNs through differential evolution for learning of networks that generate multiple motion, and verifies whether the networks generate motion correctly using simulators and actual robots.
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Report
(5 results)
Research Products
(32 results)
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[Journal Article] An Effective Method for Evolving Reaction Networks in Synthetic Biochemical Systems2015
Author(s)
Dinh,H., Aubert,N., Noman,N., Fujii,T., Rondelez,Y., Iba,H.
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Journal Title
IEEE Transactions on Evolutionary Computation
Volume: 19
Issue: 3
Pages: 374-386
DOI
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Peer Reviewed / Open Access / Int'l Joint Research / Acknowledgement Compliant
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[Book] 人工知能の創発2017
Author(s)
伊庭斉志
Total Pages
240
Publisher
株式会社オーム社
ISBN
4274220648
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