Multi-Objective Grey Wolf Optimizer (MOGWO)

In the Multi-Objective Grey Wolf Optimizer (MOGWO), a fixed-sized external archive is integrated to the GWO for saving and retrieving the Pareto optimal solutions. This archive has been employed to define the social hierarchy and simulate the hunting behavior of grey wolves in multi-objective search spaces.
The main paper can be found here: S. Mirjalili, S. Saremi, S. M. Mirjalili, L. Coelho, Multi-objective grey wolf optimizer: A novel algorithm for multi-criterion optimization, Expert Systems with Applications, in press, DOI: http://dx.doi.org/10.1016/j.eswa.2015.10.039

The single-objective version of this algorithm can be found here: http://au.mathworks.com/matlabcentral/fileexchange/44974-grey-wolf-optimizer--gwo-

More information can be found in: http://www.alimirjalili.com/GWO.html

Other relevant submissions: https://au.mathworks.com/matlabcentral/fileexchange/49772-grey-wolf-optimizer-for-training-multi-layer-perceptrons

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