Multiobjective Cuckoo Search (MOCS)

Version 2.0.0 (6,85 ko) par XS Yang

This demo shows how the multiobjective cuckoo search works.

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Mise à jour 29 mars 2020

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The multiobjective cuckoo search (MOCS) is a nature-inspired optimization algorithm. This demo solves the bi-objective ZDT3 functions with D=30 (dimensions), and the obtained Pareto Front is displayed. It is relatively straightforward to extend this code to solve other multi-objective functions and optimization problems. You can change the objective functions, dimensionality, various parameters, and simple lower and upper bounds (Lb, Ub).

Citation pour cette source

XS Yang (2024). Multiobjective Cuckoo Search (MOCS) (https://www.mathworks.com/matlabcentral/fileexchange/74752-multiobjective-cuckoo-search-mocs), MATLAB Central File Exchange. Extrait(e) le novembre 25, 2024.

Yang, Xin-She, and Suash Deb. “Multiobjective Cuckoo Search for Design Optimization.” Computers & Operations Research, vol. 40, no. 6, Elsevier BV, June 2013, pp. 1616–24, doi:10.1016/j.cor.2011.09.026.

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Version	Publié le	Notes de version
2.0.0	29 mars 2020	Updated.	Télécharger
1.0.0	29 mars 2020		Télécharger

MLA	Yang, Xin-She, and Suash Deb. “Multiobjective Cuckoo Search for Design Optimization.” Computers & Operations Research, vol. 40, no. 6, Elsevier BV, June 2013, pp. 1616–24, doi:10.1016/j.cor.2011.09.026.
APA	Yang, X.-S., & Deb, S. (2013). Multiobjective cuckoo search for design optimization. Computers & Operations Research, 40(6), 1616–1624. Elsevier BV. Retrieved from https://doi.org/10.1016%2Fj.cor.2011.09.026
BibTeX	@article{Yang_2013, doi = {10.1016/j.cor.2011.09.026}, url = {https://doi.org/10.1016%2Fj.cor.2011.09.026}, year = 2013, month = {jun}, publisher = {Elsevier {BV}}, volume = {40}, number = {6}, pages = {1616--1624}, author = {Xin-She Yang and Suash Deb}, title = {Multiobjective cuckoo search for design optimization}, journal = {Computers {\&} Operations Research} }