Bin Packing is a combinatorial optimization problem where the goal is to pack a set of items of different sizes into a finite number of bins, each with a fixed capacity, in the most efficient way. The objective is to minimize the number of bins used while ensuring that the total size of items in each bin does not exceed its capacity. This problem has practical applications in various fields, such as logistics, resource allocation, and computer science. Different algorithms, like First-Fit and Best-Fit, are used to find solutions, balancing efficiency and computational complexity in real-world scenarios.