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
scope: 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: 1389-2576
Electronic ISSN: 1573-7632
Abstracting and Indexing: Science Citation Index Expanded. Scopus.
Imapct Factor 2021: 2.522
Subject Area and Category: Computer Sciences, Mathematics
Publication Frequency: Quarterly
H Index: 41
Q1:
Q2:
Q3: Theoretical Computer Science
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Cite Score: 4.3
SNIP: 1.036
Journal Rank(SJR): 0.904
Latest Articles: Latest Articles in Genetic Programming and Evolvable Machines
Guidelines for Authors: Genetic Programming and Evolvable Machines Author Guidelines
Paper Submissions: Paper Submissions in Genetic Programming and Evolvable Machines
Publisher: Springer US
Country: USA
