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. 2019 Mar 28;11:25. doi: 10.1186/s13321-019-0347-6

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© The Author(s) 2019

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 8 — The effect of varying $T (Δ m a s s)$ on the number of permutations. a Parallel representation of pareto fronts in the 70–100% diversity range, for $T (Δ m a s s) \in \{2.5, 1, 0.5, 0.1, 0.01, 0.001\}$ obtained by the 3-objective optimizations for (r = 5, m = 7 and $x_{i} = s, e, r, w, a, G, i$ ; $x_{3} = p$ , $x_{7} = y$ ) library design, where each optimization run is presented in different color. b Sequence logos of library designs encircled in subfigure a