What is true about variable neighborhood function?
A)neighbourhood functions that are sparse lead to quicker movement during search
B)algorithm has to inspect very fewer neighbours
C)vdn stars searching with sparse neighbourhood functions, when it reaches an optimum, it switches to denser function.
D)all of the above

Question

Quizplus · Accepted Answer

Variable Neighborhood Search (VNS) algorithms typically start with a sparse neighborhood structure to quickly explore the search space. As they converge towards an optimum, they switch to denser neighborhood structures to perform a more thorough local search. This approach combines broad exploration with detailed exploitation, inspecting fewer neighbors initially and more as the search narrows down, making all the provided statements true.

What Is True About Variable Neighborhood Function