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|+ Timeline of EP - selected algorithms<ref name=overview>{{cite journal |last1=Slowik |first1=Adam |last2=Kwasnicka |first2=Halina |title=Evolutionary algorithms and their applications to engineering problems |journal=Neural Computing and Applications |date=1 August 2020 |volume=32 |issue=16 |pages=12363–12379 |doi=10.1007/s00521-020-04832-8 |url=https://link.springer.com/article/10.1007/s00521-020-04832-8 |language=en |issn=1433-3058|doi-access=free }}</ref>
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! Year !! Description !! Reference
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| 1992 || Introduction of GP as genetically bred populations of computer programs || <ref>{{cite journal |last1=Koza |first1=J. R. G. P. |title=On the programming of computers by means of natural selection |journal=Genetic programmingProgramming |date=1992}}</ref>
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| 2000 || [[Cartesian genetic programming]] || <ref>{{cite journalbook |last1=Miller |first1=Julian F. |titleseries=CartesianNatural GeneticComputing ProgrammingSeries |journaltitle=Cartesian Genetic Programming |date=2011 |pages=17–34 |doi=10.1007/978-3-642-17310-3_2 |url=https://link.springer.com/chapter/10.1007/978-3-642-17310-3_2 |publisher=Springer |isbn=978-3-642-17309-7 |language=en}}</ref>
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| 2000 || Grammar-guided GP - Dynamic grammar pruning is applied in initialization|| <ref>{{cite journalbook |last1=Ratle |first1=Alain |last2=Sebag |first2=Michèle |titlechapter=Genetic Programming and Domain Knowledge: Beyond the Limitations of Grammar-Guided Machine Discovery |journaltitle=Parallel Problem Solving from Nature PPSN VI |series=Lecture Notes in Computer Science |date=2000 |volume=1917 |pages=211–220 |doi=10.1007/3-540-45356-3_21 |chapter-url=https://link.springer.com/chapter/10.1007/3-540-45356-3_21 |publisher=Springer |isbn=978-3-540-41056-0 |language=en}}</ref>
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| 2001 || [[Gene expression programming]] || <ref>{{cite journal |last1=Ferreira |first1=Candida |title=Gene Expression Programming: a New Adaptive Algorithm for Solving Problems |journal=arXiv |date=2001 |doi=10.48550/arXiv.cs/0102027}}</ref>
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| 2012 || Multi-gene GP - Combination of classical method for parameter estimation and structure selection || <ref>{{cite journal |last1=Gandomi |first1=Amir Hossein |last2=Alavi |first2=Amir Hossein |title=A new multi-gene genetic programming approach to nonlinear system modeling. Part I: materials and structural engineering problems |journal=Neural Computing and Applications |date=1 February 2012 |volume=21 |issue=1 |pages=171–187 |doi=10.1007/s00521-011-0734-z |url=https://link.springer.com/article/10.1007/s00521-011-0734-z |language=en |issn=1433-3058}}</ref>
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| 2012 || Geometric semantic GP - Direct search in the space of the underlying semantics of the programs || <ref>{{cite journalbook |last1=Moraglio |first1=Alberto |last2=Krawiec |first2=Krzysztof |last3=Johnson |first3=Colin G. |titlechapter=Geometric Semantic Genetic Programming |journaltitle=Parallel Problem Solving from Nature - PPSN XII |series=Lecture Notes in Computer Science |date=2012 |volume=7491 |pages=21–31 |doi=10.1007/978-3-642-32937-1_3 |chapter-url=https://link.springer.com/chapter/10.1007/978-3-642-32937-1_3 |publisher=Springer |isbn=978-3-642-32936-4 |language=en}}</ref>
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| 2015 || Surrogate GP || <ref>{{cite journal |last1=Kattan |first1=Ahmed |last2=Ong |first2=Yew-Soon |title=Surrogate Genetic Programming: A semantic aware evolutionary search |journal=Information Sciences |date=1 March 2015 |volume=296 |pages=345–359 |doi=10.1016/j.ins.2014.10.053 |url=https://www.sciencedirect.com/science/article/abs/pii/S0020025514010421 |issn=0020-0255}}</ref>
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| 2015 || Memetic semantic GP || <ref>{{cite journalbook |last1=Ffrancon |first1=Robyn |last2=Schoenauer |first2=Marc |titlechapter=Memetic Semantic Genetic Programming |journaltitle=Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation |date=11 July 2015 |pages=1023–1030 |doi=10.1145/2739480.2754697 |chapter-url=https://dl.acm.org/doi/10.1145/2739480.2754697 |publisher=Association for Computing Machinery|isbn=978-1-4503-3472-3 |url=https://hal.inria.fr/hal-01169074/file/8parV_errors_old_vs_new.pdf }}</ref>
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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}}</ref>
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