| EPSRC Reference: |
GR/S63847/01 |
| Title: |
Adaptive Divide-and-Conquer - Nature's Way to Cope with Complexity |
| Principal Investigator: |
Yao, Professor X |
| Other Investigators: |
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| Project Partners: |
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| Department: |
School of Computer Science |
| Organisation: |
University of Birmingham |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 July 2003 |
Ends: |
31 December 2003 |
Value (£): |
59,939
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| EPSRC Research Topic Classifications: |
| Complexity Science |
Genomics |
| New & Emerging Comp. Paradigms |
Statistics & Appl. Probability |
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Summary on Grant Application Form |
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Nature inspired computation is the study of computational systems that use ideas and get inspiration from natural systems, including biological, social, economical, ecological, physical and chemical systems. It is an emerging interdisciplinary field in which a range of techniques and methods are studied for dealing with large, complex and dynamic problems. The primary aim of this project is to bring together a team of leading researchers in the field to form a research cluster, identify key research challenges underpinning the field of natural computation and develop high-quality adventurous research proposals. The focus of our research is to investigate various nature inspired approaches to tackling large, complex and dynamic problems in the real world. Nature has been exceedingly successful in dealing with large, complex and dynamic problems by decomposing them into simpler sub-problems. The study of Nature's ways to cope with complexity is likely to lead to novel problem solving approaches that are effective and efficient. During this project, we will hold 3 workshops for all cluster members and a number of small group discussions in identifying key research issues and working up research proposals. Continuous e-discussions will be facilitated by a dedicated website and emails. The research work will be carried out in seven universities, two industrial research labs and two overseas centres of excellence. The expected outcomes of this project are expected to put UK firmly on the international map as one of the leaders in novel computation.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| 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 |
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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.bham.ac.uk |