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In computer programming, gene expression programming (GEP) is an evolutionary algorithm that creates computer programs or models. These computer programs are complex tree structures that learn and adapt by changing their sizes, shapes, and composition, much like a living organism. And like living organisms, the computer programs of GEP are also encoded in simple linear chromosomes of fixed length. Thus, GEP is a genotype–phenotype system, benefiting from a simple genome to keep and transmit the genetic information and a complex phenotype to explore the environment and adapt to it.

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  • Gene expression programming (en)
  • Programación de expresiones de genes (es)
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  • En programación, programación de expresión de genes (PEG) es un algoritmo evolutivo que crea programas o modelos. Estos programas son complejas que aprenden y se adaptan por el cambio de sus tamaños, formas y composición, muy parecido a un organismo vivo. Como organismos vivos, los programas de PEG eran codificados en simple cromosomas de tamaños fijos. Como, PEG es un sistema genotipo-fenotipo, beneficiado de un simple genoma para mantener y trasmitir información genética y un fenotipo complejo para explorar el ambiente y adaptarse. (es)
  • In computer programming, gene expression programming (GEP) is an evolutionary algorithm that creates computer programs or models. These computer programs are complex tree structures that learn and adapt by changing their sizes, shapes, and composition, much like a living organism. And like living organisms, the computer programs of GEP are also encoded in simple linear chromosomes of fixed length. Thus, GEP is a genotype–phenotype system, benefiting from a simple genome to keep and transmit the genetic information and a complex phenotype to explore the environment and adapt to it. (en)
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  • http://commons.wikimedia.org/wiki/Special:FilePath/Decision_tree_for_playing_outside.png
  • http://commons.wikimedia.org/wiki/Special:FilePath/Expression_of_3_GEP_genes,_1st_k-expression_*Qb+*-bbba.png
  • http://commons.wikimedia.org/wiki/Special:FilePath/Expression_of_a_GEP_neural_network_for_the_exclusive-or.png
  • http://commons.wikimedia.org/wiki/Special:FilePath/Expression_of_a_multicellular_GEP_system_with_3_ADFs_and_2_main_programs.png
  • http://commons.wikimedia.org/wiki/Special:FilePath/Expression_of_a_unicellular_GEP_system_with_three_ADFs.png
  • http://commons.wikimedia.org/wiki/Special:FilePath/GEP_decision_tree,_k-expression_WOTHababab.png
  • http://commons.wikimedia.org/wiki/Special:FilePath/GEP_decision_tree_with_numeric_and_nominal_attributes,_k-expression_WOTHababab.png
  • http://commons.wikimedia.org/wiki/Special:FilePath/GEP_decision_tree_with_numeric_and_nominal_attributes.png
  • http://commons.wikimedia.org/wiki/Special:FilePath/GEP_expression_tree,_k-expression_*b+a-aQa.png
  • http://commons.wikimedia.org/wiki/Special:FilePath/GEP_expression_tree,_k-expression_Q*-+abcd.png
  • http://commons.wikimedia.org/wiki/Special:FilePath/GEP_expression_tree,_k-expression_Q*b**+baQba.png
  • http://commons.wikimedia.org/wiki/Special:FilePath/GEP_expression_tree_with_RNCs.png
  • http://commons.wikimedia.org/wiki/Special:FilePath/GEP_expression_tree_with_placeholder_for_RNCs.png
  • http://commons.wikimedia.org/wiki/Special:FilePath/GEP_expression_tree_with_symbols_(numerals)_for_RNCs.png
  • http://commons.wikimedia.org/wiki/Special:FilePath/GEP_neural_network_solution_for_the_exclusive-or.png
  • http://commons.wikimedia.org/wiki/Special:FilePath/GEP_neural_network_with_7_nodes.png
  • http://commons.wikimedia.org/wiki/Special:FilePath/Neural_network_with_5_units.png
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