Very large-scale neighborhood search

Very Large-Scale Neighborhood Search (VLSN) is a metaheuristic optimization technique that extends the concept of neighborhood search algorithms to explore and exploit very large neighborhoods within a solution space. It is particularly effective for solving combinatorial optimization problems, such as scheduling, routing, and resource allocation.