Evolutionary and multi-objective learning

We have the largest AI and machine learning research team in the southern hemisphere, with a focus on evolutionary learning and optimisation.

The research consists of evolutionary algorithms such as:

• genetic algorithms (GAs) and genetic programming (GP)
• swarm intelligence such as Particle swarm optimisation (PSO)
• ant colony optimisation (ACO) and differential evolution (DE)
• other population-based algorithms such as multi-objective optimisation (EMO) and estimation of distributed algorithms (EDA).

We work in both evolutionary learning and evolutionary optimisation, particularly on discrete and combinatorial optimisation which has more applications to the real world.