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Genetic Programming and Evolvable Machines


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. This 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.

Journal Home:  Journal Homepage
Editor-in-Chief:  Lee Spector

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.

Print ISSN:

Print ISSN:  1389-2576

Electronic ISSN:  1573-7632

Abstracting and Indexing:  Science Citation Index Expanded. Scopus.
Imapct Factor 2020:   1.714
Subject Area and Category:  Computer Sciences, Mathematics
Publication Frequency:  Quarterly
H Index:  41
Best Quartile:



Q3:  Theoretical Computer Science


Journal Home:  Journal Homepage
Cite Score:  3.5
SNIP:  1.21
Journal Rank(SJR):  0.371
Publisher & Country:

Publisher:  Springer US

Country:   USA