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.
Decision networks, also known as Probabilistic Graphical Models, are a type of AI model that represents uncertain knowledge using a graph structure. Decision Networks…