Variable neighbourhood search: methods and applications

@article{Hansen2010VariableNS,
  title={Variable neighbourhood search: methods and applications},
  author={Pierre Hansen and Nenad Mladenovi{\'c} and Jos{\'e} A. Moreno-P{\'e}rez},
  journal={4OR},
  year={2010},
  volume={6},
  pages={319-360}
}
Variable neighbourhood search (VNS) is a metaheuristic, or a framework for building heuristics, based upon systematic changes of neighbourhoods both in descent phase, to find a local minimum, and in perturbation phase to emerge from the corresponding valley. It was first proposed in 1997 and has since then rapidly developed both in its methods and its applications. In the present paper, these two aspects are thoroughly reviewed and an extensive bibliography is provided. Moreover, one section is… 
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References

SHOWING 1-10 OF 369 REFERENCES
Parallel Variable Neighborhood Search
TLDR
Several parallelization strategies for VNS have been proposed and compared on the large instances of the p-median problem.
Variable Neighborhood Decomposition Search
TLDR
The resulting two level VNS, called Variable Neighborhood Decomposition Search (VNDS), is presented and illustrated on the p-median problem and shows VNDS improves notably upon VNS in less computing time, and gives much better results than Fast Interchange (FI), in the same time that FI takes for a single descent.
The Parallel Variable Neighborhood Search for the p-Median Problem
TLDR
The use of interchange moves provides a simple implementation of the VNS algorithm for the p-Median Problem and several strategies for the parallelization of theVNS are considered and coded in C using OpenMP.
Variable Neighbourhood Search for Job Shop Scheduling Problems
TLDR
An investigation on implementing VNS for job shop scheduling problems is carried out tackling benchmark suites collected from OR library to build the best local search and shake operations based on neighbourhood structure available.
A Variable Neighbourhood Search Algorithm for Job Shop Scheduling Problems
TLDR
A variable neighbourhood search algorithm is proposed for Job Shop Scheduling problem with makespan criterion and it is concluded that the VNS implementation is better than many recently published works with respect to the quality of the solution.
Parallel variable neighbourhood search algorithms for job shop scheduling problems
TLDR
The performance of various VNS algorithms and the efficiency of policies to follow in parallelization are revealed and the unilateral-ring topology, a noncentral parallelization method, is found as the most efficient policy.
Introduction to the special issue on variable neighborhood search
TLDR
The papers that make up this special issue on Variable Neighborhood Search illustrate breadth and depth of research in variable neighborhood search since they show some advanced features of the metaheuristic.
Developments of Variable Neighborhood Search
TLDR
After reviewing the basic scheme of VNS, several extensions aimed at solving large problem instances are surveyed, and issues in devising a VNS heuristic are discussed.
Variable neighborhood search: Principles and applications
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