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It depends on the nature of the problem! Are you able to share any specifics e.g. context, number and relationship between decision variables, number of objectives (single or multi?), the optimisation operators in use, and so on?

My main use of dimensionality reduction is to improve visualisation to support decision making. I've seen PCA and differential evolution approaches in the decision space to show promising results on benchmarks.




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