Evolutionary programming

Evolutionary programming is a way to teach computers to learn and improve on their own. It is like playing with clay, but in this case, the computer is the clay.

First, we give the computer a task to learn, like solving a puzzle. Then we let the computer try to solve the puzzle many times. Each time it solves the puzzle differently.

Next, we look at all the different ways the computer tried to solve the puzzle. We pick the best solutions and use them to make new solutions that are even better. Just like when we make a sculpture and we start with a basic shape and then add to it until it looks good.

We keep doing this process of trying, selecting, and improving solutions until the computer gets really good at solving the puzzle. It is like we are helping the computer to evolve into a better problem solver.

Finally, we can use the computer to solve similar puzzles or challenges. The computer may not be perfect, but it has learned from its mistakes and knows how to tackle the task better than before.

In summary, evolutionary programming is like playing with clay and making sculptures. We give the computer a task, let it try different solutions, select the best solutions, and keep improving until the computer becomes really good at solving the task.