we explore the implications of using decomposition-based methods over Pareto-based methods on algorithm convergence a probabilistic point of view. Namely, we investigate whether there is an advantage of using a decomposition-based method, for example using the Chebyshev scalarizing function, over Pareto-based methods.

multi-obj opt.pdf

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