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.
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.
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}
}
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.
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}
}
You can also select a web site from the following list
How to Get Best Site Performance
Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.
