👉 Bin computing, also known as bin packing or bin filling, is a computational problem that involves optimizing the allocation of items into bins or containers with specific constraints. The primary goal is to minimize the number of bins used while ensuring that no bin exceeds its capacity, often related to size or other predefined limits. This problem is prevalent in various fields such as logistics, manufacturing, and data storage, where efficient resource utilization is crucial. For instance, in warehouse management, bin packing algorithms help optimize the arrangement of items to reduce storage space and transportation costs. The complexity of bin computing arises from the need to find near-optimal solutions, as the problem is NP-hard, meaning that finding an exact solution becomes computationally infeasible for large inputs. Various heuristic and approximation algorithms are employed to tackle this challenge, balancing solution quality with computational efficiency.
