C-DEEPSO / Canonical Differential Evolutionary Particle Swar

Version 2.0 (15.4 KB) by Carolina Marcelino

matlab code

108 Downloads

Updated 23 Oct 2018

C-DEEPSO is a hybrid single objective metaheuristic that incorporates distinct features of Evolutionary Programming (EP), Particle Swarm Optimization (PSO), and Differential Evolution (DE). This code has three simple benchmark functions to test C-DEEPSO.

Cite As

Carolina Marcelino (2025). C-DEEPSO / Canonical Differential Evolutionary Particle Swar (https://se.mathworks.com/matlabcentral/fileexchange/66980-c-deepso-canonical-differential-evolutionary-particle-swar), MATLAB Central File Exchange. Retrieved October 25, 2025.

Marcelino, Carolina G., et al. “Solving Security Constrained Optimal Power Flow Problems: a Hybrid Evolutionary Approach.” Applied Intelligence, vol. 48, no. 10, Springer Nature America, Inc, Apr. 2018, pp. 3672–90, doi:10.1007/s10489-018-1167-5.

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Created with R2015a

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cdeepso

Version	Published	Release Notes
2.0	23 Oct 2018	references	Download
1.0.0.0	18 Apr 2018		Download

MLA	Marcelino, Carolina G., et al. “Solving Security Constrained Optimal Power Flow Problems: a Hybrid Evolutionary Approach.” Applied Intelligence, vol. 48, no. 10, Springer Nature America, Inc, Apr. 2018, pp. 3672–90, doi:10.1007/s10489-018-1167-5.
APA	Marcelino, C. G., Almeida, P. E. M., Wanner, E. F., Baumann, M., Weil, M., Carvalho, L. M., & Miranda, V. (2018). Solving security constrained optimal power flow problems: a hybrid evolutionary approach. Applied Intelligence, 48(10), 3672–3690. Springer Nature America, Inc. Retrieved from https://doi.org/10.1007%2Fs10489-018-1167-5
BibTeX	@article{Marcelino_2018, doi = {10.1007/s10489-018-1167-5}, url = {https://doi.org/10.1007%2Fs10489-018-1167-5}, year = 2018, month = {apr}, publisher = {Springer Nature America, Inc}, volume = {48}, number = {10}, pages = {3672--3690}, author = {Carolina G. Marcelino and Paulo E. M. Almeida and Elizabeth F. Wanner and Manuel Baumann and Marcel Weil and Leonel M. Carvalho and Vladimiro Miranda}, title = {Solving security constrained optimal power flow problems: a hybrid evolutionary approach}, journal = {Applied Intelligence} }