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Details of Grant 

EPSRC Reference: EP/F031033/1
Title: PLAZZMID: Evolutionary algorithms from bacterial and bee genomes
Principal Investigator: Stepney, Professor S
Other Investigators:
Young, Professor P Clarke, Mr T
Researcher Co-Investigators:
Project Partners:
Department: Computer Science
Organisation: University of York
Scheme: Standard Research
Starts: 02 June 2008 Ends: 01 December 2011 Value (£): 806,662
EPSRC Research Topic Classifications:
Genomics New & Emerging Comp. Paradigms
Population Ecology Theoretical biology
EPSRC Industrial Sector Classifications:
No relevance to Underpinning Sectors
Related Grants:
Panel History:
Panel DatePanel NameOutcome
18 Oct 2007 ICT Prioritisation Panel (Technology) Announced
Summary on Grant Application Form
Classical evolutionary algorithms have been extremely successful at solving certain problems. But they implement a very simple model of evolutionary biology that misses out several aspects that might be exploited by more sophisticated algorithms. We have previously critiqued the traditional naive approach to bio-inspired algorithm design, that moves straight from a simplistic description of the biology into some algorithm. PLAZZMID uses a more sophisticated process for developing richer evolutionary algorithms abstracted from various processes of biological evolution, with a corresponding richer analogical computational structure. The PLAZZMID approach will be used to explore questions from theoretical evolutionary biology, and to solve dynamic computational problems, such as evolving for homeostasis in a variable environment.
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Organisation Website: http://www.york.ac.uk