Multiobjective Cuckoo Search (MOCS)

Version 2.0.0 (6,85 KB) von XS Yang

This demo shows how the multiobjective cuckoo search works.

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Aktualisiert 29. Mär 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).

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XS Yang (2024). Multiobjective Cuckoo Search (MOCS) (https://www.mathworks.com/matlabcentral/fileexchange/74752-multiobjective-cuckoo-search-mocs), MATLAB Central File Exchange. Abgerufen18. Dezember 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	Veröffentlicht	Versionshinweise
2.0.0	29. Mär 2020	Updated.	Herunterladen
1.0.0	29. Mär 2020		Herunterladen

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} }