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.
Unsupervised Learning is a Machine Learning technique where models learn patterns and structures within data without labelled examples. By uncovering hidden relationships and clustering…