A MIMD Interpreter for Genetic Programming-Reference-Cited by-同舟云学术

A MIMD Interpreter for Genetic Programming

Published:2020 Issue: Volume: Page:645-658
ISSN:0302-9743
Container-title:Applications of Evolutionary Computation
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Author:

de Melo Vinícius Veloso,Fazenda Álvaro Luiz,Sotto Léo Françoso Dal Piccol,Iacca Giovanni

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-43722-0_41

Reference23 articles.

1. Koza, J.R.: Genetic programming as a means for programming computers by natural selection. Stat. Comput. 4(2), 87–112 (1994)

2. Chitty, D.M.: Fast parallel genetic programming: multi-core CPU versus many-core GPU. Soft. Comput. 16(10), 1795–1814 (2012)

3. Lecture Notes in Computer Science;WB Langdon,2008

4. Fukunaga, A., Stechert, A., Mutz, D.: A genome compiler for high performance genetic programming. In: Genetic Programming 1998: Proceedings of the Third Annual Conference, University of Wisconsin, Madison, Wisconsin, USA, pp. 86–94. Morgan Kaufmann (1998)

5. Nordin, P.: A compiling genetic programming system that directly manipulates the machine code. In: Advances in Genetic Programming, pp. 311–331. MIT Press, Cambridge (1994)

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