Optimisation
Search and resource-allocation problems with large, nonlinear or uncertain solution spaces.
Applied intelligence
SwarmLab connects foundational computational-intelligence research with high-value problems in optimisation, AI and autonomous systems.
Search and resource-allocation problems with large, nonlinear or uncertain solution spaces.
Population-based tuning and feature/model selection when exhaustive evaluation is impractical.
Decentralised task allocation, formation and adaptation across fleets of autonomous agents.
Resilient multi-agent approaches to scheduling, routing, planning and dynamic prioritisation.
Research translation
Applied work begins by identifying the decision structure: objectives, constraints, uncertainty, available signals and computational budget. The appropriate collective mechanism is then evaluated against meaningful baselines before any deployment pathway is proposed.
Bring us a difficult problem