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13 - Electrical and Electronic Engineering, Metallurgy and Materials

University of York

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Output 49 of 85 in the submission

Article title

On the Advantages of Variable Length GRNs for the Evolution of Multicellular Developmental Systems

Type

D - Journal article

DOI

10.1109/TEVC.2012.2185848

Title of journal

IEEE Transactions on Evolutionary Computation

Article number

6151118

Volume number

Issue number

First page of article

100

ISSN of journal

1089-778X

Year of publication

2013

URL

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6151118

Number of additional authors

Additional information

The work advances evolutionary computing. The output of an EPSRC funded project (EP/E028381/1), it represents the first rigorous statistical analysis of multicellular systems. Statistical data is available on IEEE Xplore maximising the impact, defining sound benchmarks and usefulness to practitioners. A subsequent paper based on this work was runner-up for best paper award at the GECCO 2010 conference. The work has led to a patent application (P1166GB, 2010) on a novel data compression technique based on artificial development.

Interdisciplinary

Cross-referral requested

Research group

B - Intelligent Systems

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract