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t. The Steady State variants of the Multi-Objective Covariance
Matrix Adaptation Evolution Strategy (SS-MO-CMA-ES) generate one
oﬀspring from a uniformly selected parent. Some other parental selection
operators for SS-MO-CMA-ES are investigated in this paper. These operators involve the deﬁnition of multi-objective rewards, estimating the
expectation of the oﬀspring survival and its Hypervolume contribution.
Two selection modes, respectively using tournament, and inspired from
the Multi-Armed Bandit framework, are used on top of these rewards.
Extensive experimental validation comparatively demonstrates the merits of these new selection operators on unimodal MO problems