Research Grant
[Cite as https://purl.org/au-research/grants/arc/DP140103400]Researchers: A/Prof Frank Neumann (Chief Investigator) , Prof Dr Tobias Friedrich (Partner Investigator)
Brief description Parameterized Analysis of Bio-inspired Computing - From Theory to High Performing Algorithms. This project will establish the field of parameterised analysis of bio-inspired computing which includes prominent approaches such as evolutionary algorithms and ant colony optimisation. It will rigorously analyse features of instances of combinatorial optimisation problems and their impact on the runtime behaviour of bio-inspired computing methods. Furthermore, the project will design new bio-inspired computing algorithms that make use of instance features and hardness characteristics. The results will advance the theoretical knowledge of bio-inspired computing, bridge the gap between theory and practice, and provide more powerful algorithms for complex optimisation problems occurring for example in the field of supply chain management for the mining industry.
Funding Amount $300,000
Funding Scheme Discovery Projects
- ARC : DP140103400
- PURL : https://purl.org/au-research/grants/arc/DP140103400
