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Kin selection with twin genetic programming

Langdon, WB; (2016) Kin selection with twin genetic programming. In: Handl, J and Hart, E and Lewis, PR and López-Ibáñez, G and Ochoa, G and Paechter, B, (eds.) Parallel Problem Solving from Nature – PPSN XIV: 14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings. (pp. pp. 313-323). Springer International Publishing: Switzerland. Green open access

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Abstract

In steady state Twin GP both children created by sub-tree crossover and point mutation are used. They are born together and die together. Evolution is little changed. Indeed fitness selection using the twin’s co-conceived doppelganger is possible.

Type: Proceedings paper
Title: Kin selection with twin genetic programming
Event: Parallel Problem Solving from Nature – PPSN XIV: 14th International Conference
ISBN-13: 9783319458229
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-319-45823-6_29
Publisher version: http://dx.doi.org/10.1007/978-3-319-45823-6_29
Language: English
Additional information: The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-45823-6_29.
Keywords: Theory, Genetic programming, Artificial intelligence, Emergent behaviour, TinyGP, Steady state evolution
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/1524248
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