Bin packing is a combinatorial optimization problem that involves organizing a set of items into a limited number of containers, or "bins," while minimizing the number of bins used. Each item has a specific size, and the goal is to fit these items into the bins without exceeding their capacity. This problem is common in logistics, resource allocation, and computer science. Various algorithms exist to solve the bin packing problem, including First-Fit, Best-Fit, and Next-Fit strategies. These methods differ in how they select bins for the items, impacting efficiency and effectiveness. Bin packing is essential in optimizing space and resources in many practical applications.