EPSRC Reference: |
GR/M78083/02 |
Title: |
NETWORK: SEMINAL: SOFTWARE ENGINEERING WITH METAHEURISTIC INNOVATIVE ALGORITHMS |
Principal Investigator: |
Harman, Professor M |
Other Investigators: |
Williams, Dr S |
Roper, Dr RMF |
Clark, Professor JA |
Lefley, Dr M |
McOwan, Dr P |
Wegener, Dr J |
Oates, Mr M |
Stephens, Professor N |
Hierons, Dr R |
Burgess, Dr C |
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, Professor R |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Information Systems & Computing |
Organisation: |
Brunel University London |
Scheme: |
Standard Research (Pre-FEC) |
Starts: |
01 June 2000 |
Ends: |
31 May 2002 |
Value (£): |
45,763
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EPSRC Research Topic Classifications: |
Artificial Intelligence |
Software Engineering |
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EPSRC Industrial Sector Classifications: |
Aerospace, Defence and Marine |
Communications |
Electronics |
Information Technologies |
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Related Grants: |
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Panel History: |
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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.
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Key Findings |
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Potential use in non-academic contexts |
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Impacts |
Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
Summary |
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Date Materialised |
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Sectors submitted by the Researcher |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Project URL: |
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Further Information: |
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Organisation Website: |
http://www.brunel.ac.uk |