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.
Transfer Learning is a technique that allows AI models to apply knowledge gained from one task to another related task. By leveraging pre-trained models…