Abstract
As discussed in the previous chapter, one can expect that the solution set of a continuous MOP with k objectives forms—at least locally—an object of dimension \(k-1\).
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Schütze, O., Hernández, C. (2021). Archiving in Evolutionary Multi-objective Optimization: A Short Overview. In: Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms. Studies in Computational Intelligence, vol 938. Springer, Cham. https://doi.org/10.1007/978-3-030-63773-6_3
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DOI: https://doi.org/10.1007/978-3-030-63773-6_3
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