Variable Neighborhood Search Algorithm (VNS)

Version 1.0.0 (3.56 KB) by Houssem

VNS is an optimization algorithm which works based on a systematic change of neighborhood

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Updated 16 May 2021

Variable Neighborhood Search Algorithm (VNS) is an optimization algorithm which works based on a systematic change of neighborhood while searching the optimal solution of a given problem in both descent and perturbation phases.

The Variable Neighborhood Search Algorithm (VNS) algorithm is a global optimization technique based on metaheuristics. It explores the concept of neighborhood change for both a descent to the optima and escaping valleys that contain them.

Cite As

Houssem (2024). Variable Neighborhood Search Algorithm (VNS) (https://www.mathworks.com/matlabcentral/fileexchange/92358-variable-neighborhood-search-algorithm-vns), MATLAB Central File Exchange. Retrieved November 22, 2024.

Bouchekara, H. R. E. H., et al. “A Variable Neighborhood Search Algorithm for Optimal Protection Coordination of Power Systems.” Soft Computing, Springer Science and Business Media LLC, Apr. 2021, doi:10.1007/s00500-021-05776-4.

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Ramli, Makbul A. M., and Houssem R. E. H. Bouchekara. “Solving the Problem of Large-Scale Optimal Scheduling of Distributed Energy Resources in Smart Grids Using an Improved Variable Neighborhood Search.” IEEE Access, vol. 8, Institute of Electrical and Electronics Engineers (IEEE), 2020, pp. 77321–35, doi:10.1109/access.2020.2986895.

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Created with R2021a

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Version	Published	Release Notes
1.0.0	16 May 2021		Download

MLA	Bouchekara, H. R. E. H., et al. “A Variable Neighborhood Search Algorithm for Optimal Protection Coordination of Power Systems.” Soft Computing, Springer Science and Business Media LLC, Apr. 2021, doi:10.1007/s00500-021-05776-4.
APA	Bouchekara, H. R. E. H., Shahriar, M. S., Javaid, M. S., Sha’aban, Y. A., Zellagui, M., & Bentouati, B. (2021). A variable neighborhood search algorithm for optimal protection coordination of power systems. Soft Computing. Springer Science and Business Media LLC. Retrieved from https://doi.org/10.1007%2Fs00500-021-05776-4
BibTeX	@article{Bouchekara_2021, doi = {10.1007/s00500-021-05776-4}, url = {https://doi.org/10.1007%2Fs00500-021-05776-4}, year = 2021, month = {apr}, publisher = {Springer Science and Business Media {LLC}}, author = {H. R. E. H. Bouchekara and M. S. Shahriar and M. S. Javaid and Y. A. Sha'aban and M. Zellagui and B. Bentouati}, title = {A variable neighborhood search algorithm for optimal protection coordination of power systems}, journal = {Soft Computing} }

MLA	Ramli, Makbul A. M., and Houssem R. E. H. Bouchekara. “Solving the Problem of Large-Scale Optimal Scheduling of Distributed Energy Resources in Smart Grids Using an Improved Variable Neighborhood Search.” IEEE Access, vol. 8, Institute of Electrical and Electronics Engineers (IEEE), 2020, pp. 77321–35, doi:10.1109/access.2020.2986895.
APA	Ramli, M. A. M., & Bouchekara, H. R. E. H. (2020). Solving the Problem of Large-Scale Optimal Scheduling of Distributed Energy Resources in Smart Grids Using an Improved Variable Neighborhood Search. IEEE Access, 8, 77321–77335. Institute of Electrical and Electronics Engineers (IEEE). Retrieved from https://doi.org/10.1109%2Faccess.2020.2986895
BibTeX	@article{Ramli_2020, doi = {10.1109/access.2020.2986895}, url = {https://doi.org/10.1109%2Faccess.2020.2986895}, year = 2020, publisher = {Institute of Electrical and Electronics Engineers ({IEEE})}, volume = {8}, pages = {77321--77335}, author = {Makbul A. M. Ramli and Houssem R. E. H. Bouchekara}, title = {Solving the Problem of Large-Scale Optimal Scheduling of Distributed Energy Resources in Smart Grids Using an Improved Variable Neighborhood Search}, journal = {{IEEE} Access} }