NSGA-II, SPEA-II and MOEA/D, embedded in a multi-objective NARX structure-selection framework, recover correct structures on benchmarks, with NSGA-II ranked best and wide parameter sweet spots.
Nelles, Nonlinear system identification : from classical approaches to neural networks and fuzzy models, Springer, Berlin ; New York, 2001
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Multi-Objective Evolutionary Framework for Non-linear System Identification: A Comprehensive Investigation
NSGA-II, SPEA-II and MOEA/D, embedded in a multi-objective NARX structure-selection framework, recover correct structures on benchmarks, with NSGA-II ranked best and wide parameter sweet spots.