This repository contains a MATLAB implementation of the shuffled frog leaping algorithm (SFLA) for multi-objective optimisation (MOO), with a specific application on MOO test problems. The implementation was used to test the performance of the MO SFLA against the multi-objective optimisation cross-entropy method (MOO CEM) as part of a final year undergraduate project in 2012 at Stellenbosch University.

• Bekker, J., & Aldrich, C. (2011). The cross-entropy method in multi-objective optimisation: An assessment. European Journal of Operational Research, 211(1), 112–121. https://doi.org/10.1016/j.ejor.2010.10.028
• Bam, W.G. (2012). Comparison of the shuffled frog-leaping algorithm with the cross-entropy method in the context of multi-objective optimisation. Final year project presented in partial fulfilment of the requirements for the degree of Industrial Engineering at Stellenbosch University. Available on request
• Lakshmi, K., & Rao, A. R. M. (2010). A memetic algorithm for combinatorial problems with multiple objectives. 2010 2nd International Conference on Advanced Computing, ICoAC 2010, 33–41. https://doi.org/10.1109/ICOAC.2010.5725358