Multiobjective Cuckoo Search (MOCS)
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).
XS Yang (2023). 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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