Methods for artificial evolution of active components are rapidly developing branches of adaptive computation and adaptive engineering. They entail the development, evaluation and application of methods that mirror the process of neo-Darwinian evolution. Genetic Programming and Evolvable Machines reports innovative and significant progress in automatic evolution of software and hardware. It features both theoretical and application papers and covers hardware implementations, artificial life, molecular computing and emergent computation techniques.

In addition to its main topics, the journal covers related topics such as evolutionary algorithms with variable-size genomes, alternate methods of program induction, approaches to engineering systems development based on embryology, morphogenesis or other techniques inspired by adaptive natural systems.

  • Reports innovative and significant progress in automatic evolution of software and hardware.
  • Features both theoretical and application papers.
  • Covers hardware implementations, artificial life, molecular computing and emergent computation techniques.
  • Examines such related topics as evolutionary algorithms with variable-size genomes, alternate methods of program induction, approaches to engineering systems development based on embryology, morphogenesis or other techniques inspired by adaptive natural systems.

Journal information

Editor-in-Chief
  • Lee Spector
Publishing model
Hybrid (Transformative Journal). Learn about publishing Open Access with us

Journal metrics

1.781 (2019)
Impact factor
1.560 (2019)
Five year impact factor
86 days
Submission to first decision
255 days
Submission to acceptance
75,020 (2020)
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Electronic ISSN
1573-7632
Print ISSN
1389-2576
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