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Part 2 Note: for this part, you may upload files having your answers generated through any text editing tool or handwritten scanned files. It is your responsibility to keep your file names uniquely identifiable. 1. How evolutionary computing takes inspiration from natural evolution? Map the fundamental concepts of evolution to the problem solving. [3] 2. Explain the difference among the three classes of problems: simulation, optimization, modelling (3) 3. Explain the general scheme of an Evolutionary Algorithm through a diagram. [3] 4. Explain the six components of an Evolutionary Algorithm with moderate details. [3] 5. Explain the key features of supervised learning. [4] 6. Explain the general internal structure of a node in an Artificial Neural Network [4] 7. Explain feed forward, recurrent, and deep neural networks [4] 8. What is the advantage and disadvantage of being part of a swarm in a Treasure Finding Mission? [3] 9. What is swarm intelligence? Give at least five examples of biological swarm systems. [3]