Linkage - International - Grant ID: LX0348218

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/LX0348218

Funding Status
Closed

Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the .

Funded Activity Summary

Decision-making in social insects and nature-inspired optimisation algorithms. Insect societies are ideal for the study of complex systems. Contrary to other complex systems, insect colonies can be modified without destroying the system. Computer scientists have found a source of inspiration in the behaviour of social insects for solving optimisation problems. Here we will study the influence of information flow on decision-making in real insect societies using: 1) Experiments aimed at investigating how storage and transfer of information affects individual decision-making within a honey bee colony (University of Sydney) 2) Design of a new class of 'bee' algorithms that incorporate direct information transfer and are aimed at solving dynamic multicriterion optimisation problems (University of Leipzig).

Funded Activity Details

Start Date: 01-02-2004

End Date: 31-01-2007

Funding Scheme: Linkage - International

Funding Amount: $30,300.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Other Artificial Intelligence | Applied Mathematics | Sociobiology And Behavioural Ecology | Biological Mathematics

ANZSRC Socio-Economic Objective (SEO)

Biological sciences | Mathematical sciences |

Other Keywords

Applied Mathematics | Biological Mathematics | Biological sciences | Mathematical sciences | Other Artificial Intelligence | Sociobiology And Behavioural Ecology

Related Links