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Multi Objective Grey wolf Optimization is one a meta-heuristic technique. The MOGWO has recently gained a huge research interest from numerous domains due to its impressive characteristics over other meta-heuristics optimization techniques: it has less parameters, derivation information is not required in the initial stage, scalable, flexible, easy to use. In this paper MOGWO, which is based on the leadership hunting technique of grey wolves is used for feature selection. The traditional GWO isdoi:10.5281/zenodo.4743482 fatcat:vqkuridbw5d3bla5t2wrqd2f2a