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Figure 7.6 Iterative definition of the Pareto optimal set using a population of parameter sets initially chosen
randomly: (a) in a two-dimensional parameter space (parameters X1, X2); (b) in a two-dimensional perfor-
mance measure space (functions F1, F2); (c) and (d) grouping of parameter sets after one iteration; (e) and
(f) grouping of parameter sets after four iterations; after the final iteration, no model with parameter values
outside the Pareto optimal set has higher values of the performance measures than the models in the Pareto
set (after Yapo et al. , 1998, with kind permission of Elsevier).
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