Differential Evolution

Differential Evolution is an optimization technique that helps find the best solution to complex problems by mimicking natural selection. It starts with a group of candidate solutions, then combines and mutates them to create new candidates. These new solutions are evaluated to see if they improve upon previous ones. Over successive generations, poorer options are discarded, and better solutions evolve. This process continues until it finds an optimal or satisfactory solution. It's useful in scenarios where the search space is large and complicated, allowing for efficient and effective exploration of potential solutions.