Output details
13 - Electrical and Electronic Engineering, Metallurgy and Materials
University of York
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Output 0 of 0 in the submission
Article title
Artificial Biochemical Networks : Evolving Dynamical Systems to Control Dynamical Systems
Type
D - Journal article
Title of journal
IEEE Transactions on Evolutionary Computation
Article number
-
Volume number
PP
Issue number
99
First page of article
n/a
ISSN of journal
1089-778X
Year of publication
2012
Number of additional authors
6
Additional information
This paper advances evolutionary algorithms and their application to dynamical systems. The output of an EPSRC funded project (EP/F060041/1) in collaboration with colleagues from Biology and Computer Science, the result is a novel evolutionary algorithm inspired by biochemical networks. This has subsequently been used in technology, protected by patent application, to monitor the side-effects of medication for Parkinson’s disease (PCT/GB13/051888) and assist diagnosis of Alzheimer’s disease (PCT/GB13/051889).
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
-