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Genetic Programming and Evolvable Machines

, Volume 18, Issue 3, pp 391–393 | Cite as

(Over-)Realism in evolutionary computation: Commentary on “On the Mapping of Genotype to Phenotype in Evolutionary Algorithms” by Peter A. Whigham, Grant Dick, and James Maclaurin

  • G. SquilleroEmail author
  • A. Tonda
Commentary
Part of the following topical collections:
  1. Mapping of Genotype to Phenotype in Evolutionary Algorithms

Abstract

Inspiring metaphors play an important role in the beginning of an investigation, but are less important in a mature research field as the real phenomena involved are understood. Nowadays, in evolutionary computation, biological analogies should be taken into consideration only if they deliver significant advantages.

Keywords

Evolutionary Computation Memetic Algorithm Grammatical Evolution Stochastic Sampling Extended Phenotype 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2017

Authors and Affiliations

  1. 1.Politecnico di TorinoTorinoItaly
  2. 2.INRA (Institut National de la Recherche Agronomique)Thiverval-GrignonFrance

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