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13 - Electrical and Electronic Engineering, Metallurgy and Materials

University of York

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Output 12 of 85 in the submission

Article title

Artificial Biochemical Networks : Evolving Dynamical Systems to Control Dynamical Systems

Type

D - Journal article

DOI

10.1109/tevc.2013.2243732

Title of journal

IEEE Transactions on Evolutionary Computation

Article number

Volume number

Issue number

First page of article

n/a

ISSN of journal

1089-778X

Year of publication

2012

URL

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6423886

Number of additional authors

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

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract