Evolutionary Computation is a branch of AI inspired by biological evolution and natural selection. It involves using algorithms to mimic evolutionary processes such as mutation, selection, and reproduction to solve complex optimisation and search problems. Evolutionary Computation finds applications in areas such as algorithm design, data mining, and genetic programming.
Supervised Learning is a Machine Learning approach where models are trained using labelled data, with both input and output pairs. By learning from the…