³ÉÈË´óƬ

Traditional optimisation techniques achieve the best possible solutions in a fixed environment.

Applying this in the real world can be challenging, with ever-changing environmental factors impacting the result (such as electricity prices, the weather, tax, and share market). At AIML we work on developing the theory, algorithms and tools that can predict when these factors will be in a state of flux, and therefore develop solutions to meet these needs now, and prepare for the future. The best solutions now may not be appropriate or even feasible in the future. 

This is the process of updating and modifying software systems so that they work more efficiently and autonomously.