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Details of Grant 

EPSRC Reference: GR/M78083/02
Title: NETWORK: SEMINAL: SOFTWARE ENGINEERING WITH METAHEURISTIC INNOVATIVE ALGORITHMS
Principal Investigator: Harman, Professor M
Other Investigators:
Burgess, Dr C Roper, Dr RMF Clark, Professor JA
Lefley, Dr M McOwan, Dr P Wegener, Dr J
Oates, Mr M Hierons, Professor R Williams, Dr S
Stephens, Professor N Jones, Professor B McOwan, Professor PW
Williams, Dr S Shepperd, Professor M Corne, Professor DW
Druce, Dr T Roper, Dr M Sthamer, Dr H
Hierons, Dr R
Researcher Co-Investigators:
Project Partners:
Department: Information Systems & Computing
Organisation: Brunel University London
Scheme: Standard Research (Pre-FEC)
Starts: 01 June 2000 Ends: 31 May 2002 Value (£): 45,763
EPSRC Research Topic Classifications:
Artificial Intelligence Software Engineering
EPSRC Industrial Sector Classifications:
Aerospace, Defence and Marine Communications
Electronics Information Technologies
Related Grants:
Panel History:  
Summary on Grant Application Form
Many of the problems associated with complexity management of the software development process have proved resistant to conventional analytic solution. The costs of the development process and the reliability of its products remain a major concern for our future social and economic well-being.Metaheuristic algorithms have been applied successfully to a number of engineering problems ranging from load balancing in the process industries (pressing of sugar pulp), through electromagnetic system design, to aircraft control and aerodynamics.The SEMINAL Network will provide a new perspective on software engineering problems, allowing them to be reformulated as search problems to which Metaheuristic Algorithms can be applied. The SEMINAL team aims mainly to encouragethe wider application of metaheuristic algorithms to the solution of a whole range of Software Engineering problems. The particular challenge will be to recast Software Engineering problems in a form that can be solved using search-based techniques. This work will feedback results and problems to the metaheuristic algorithm community.
Key Findings
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Further Information:  
Organisation Website: http://www.brunel.ac.uk