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Multiobjective Cuckoo Search (MOCS)

version 2.0.0 (6.85 KB) by XS Yang
This demo shows how the multiobjective cuckoo search works.

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Updated 29 Mar 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).

Cite As

XS Yang (2021). Multiobjective Cuckoo Search (MOCS) (https://www.mathworks.com/matlabcentral/fileexchange/74752-multiobjective-cuckoo-search-mocs), MATLAB Central File Exchange. Retrieved .

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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MATLAB Release Compatibility
Created with R2009b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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