Output details
13 - Electrical and Electronic Engineering, Metallurgy and Materials
University of York
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Article title
On the Advantages of Variable Length GRNs for the Evolution of Multicellular Developmental Systems
Type
D - Journal article
Title of journal
IEEE Transactions on Evolutionary Computation
Article number
6151118
Volume number
17
Issue number
1
First page of article
100
ISSN of journal
1089-778X
Year of publication
2013
Number of additional authors
3
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
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
