Multiobjective Cuckoo Search (MOCS)

Version 2.0.0 (6.85 KB) by XS Yang

This demo shows how the multiobjective cuckoo search works.

857 Downloads

Updated 29 Mar 2020

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).

Cite As

XS Yang (2024). Multiobjective Cuckoo Search (MOCS) (https://www.mathworks.com/matlabcentral/fileexchange/74752-multiobjective-cuckoo-search-mocs), MATLAB Central File Exchange. Retrieved December 21, 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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Created with R2009b

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Version	Published	Release Notes
2.0.0	29 Mar 2020	Updated.	Download
1.0.0	29 Mar 2020		Download

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} }