Reflections on AI progress (1995-2023)
Back in 1994, during my M.Sc. in Computer Science, my research topic for my thesis was exam timetabling. Initially, I explored various heuristic algorithms to address the graph colouring problem. However, as you add more complex constraints for optimisation, it became evident that traditional heuristics weren’t quite cutting it. This led me to a shift towards genetic algorithms. At that time, they stood out as the superior strategy for tackling such multifaceted optimization challenges, offering a more dynamic and effective solution.