Optimisation and efficiency
Mathematical optimisation methods are a key enabling technology in many of our areas of expertise. These methods allow good solutions to be found in a wide space of possible choices, with different techniques allowing optimisation in different situations.
Our experience includes:
- Algorithm development: Development of algorithms to solve specialised optimisation problems
- Optimal system trade-off: Optimisation of system design, including both continuous and discrete variables.
- Multiobjetive optimisation: Methods to support optimal decisions when there is more than one objective to be optimised (e.g. cost and weight).
- Numerical optimisation methods: Using and developing software tools for mathematical optimisation.