| EPSRC Reference: |
GR/T11234/01 |
| Title: |
Extended Particle Swarms (XPS) |
| Principal Investigator: |
Poli, Professor R |
| Other Investigators: |
|
| Researcher Co-Investigators: |
|
| Project Partners: |
|
| Department: |
Computer Sci and Electronic Engineering |
| Organisation: |
University of Essex |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 October 2004 |
Ends: |
30 September 2007 |
Value (£): |
283,926
|
| EPSRC Research Topic Classifications: |
| Fundamentals of Computing |
New & Emerging Comp. Paradigms |
| Non-linear Systems Mathematics |
Population Ecology |
|
| EPSRC Industrial Sector Classifications: |
|
| Related Grants: |
|
| Panel History: |
|
|
Summary on Grant Application Form |
|
There is a pressing need in science and in industry for novel computational methods that can solve difficult problems efficiently and reliably. Such computational methods often come from the study of natural systems. For example, observations of flocks of birds and shoals of fish have inspired algorithms called particle swarms, which operate as follows: A number of simple entities - the particles - are placed in the space of possible solutions to some problem, and each evaluates the quality of the solution at its current location. Each particle then determines its movement through the solution space by combining some aspect of its own history with those of other members of the swarm. In this way the swarm as a whole, like a flock of birds collectively foraging for food, explores the solution space and eventually finds the best solution to the problem.The aim of this multidisciplinary research project is to systematically explore the extension of particle swarms by including strategies from a wide range of collective behaviours in biology, by extending the physics of the particles, by generating an extensive set of engineering problems and a flexible simulation engine, and by providing a solid theoretical and mathematical basis for the understanding and problem-specific design of new particle swarm algorithms.
|
|
Key Findings |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
|
Potential use in non-academic contexts |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
|
Impacts |
|
| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
|
| Date Materialised |
|
|
|
|
Sectors submitted by the Researcher |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
| Project URL: |
|
| Further Information: |
|
| Organisation Website: |
http://www.sx.ac.uk |