NSGA-II (Non-Dominated Sorting Genetic Algorithm II)

NSGA-II is an advanced optimization method used to solve complex problems with multiple goals, like balancing cost and quality. It mimics natural selection by generating many potential solutions, then ranks and sorts them based on how well they meet all goals without being worse in any. The algorithm selects the best solutions to create new ones and repeats this process to find a diverse set of efficient options, known as Pareto optimal solutions. This approach helps identify the best compromises among competing objectives in a structured, efficient manner.