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| 2017 || Statistical GP - statistical information used to generate well-structured subtrees || <ref>{{cite journal |last1=Amir Haeri |first1=Maryam |last2=Ebadzadeh |first2=Mohammad Mehdi |last3=Folino |first3=Gianluigi |title=Statistical genetic programming for symbolic regression |journal=Applied Soft Computing |date=1 November 2017 |volume=60 |pages=447–469 |doi=10.1016/j.asoc.2017.06.050 |url=https://www.sciencedirect.com/science/article/abs/pii/S1568494617303939 |issn=1568-4946|url-access=subscription }}</ref>
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| 2018 || Multi-dimensional GP - novel program representation for multi-dimensional features || <ref>{{cite journal |last1=La Cava |first1=William |last2=Silva |first2=Sara |last3=Danai |first3=Kourosh |last4=Spector |first4=Lee |last5=Vanneschi |first5=Leonardo |last6=Moore |first6=Jason H. |title=Multidimensional genetic programming for multiclass classification |journal=Swarm and Evolutionary Computation |date=1 February 2019 |volume=44 |pages=260–272 |doi=10.1016/j.swevo.2018.03.015 |url=https://www.sciencedirect.com/science/article/abs/pii/S2210650217309136 |issn=2210-6502|doi-access=free }}</ref>
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