Genetic Programming and Evolvable Machines
Springer
United States
journal
SJR by Edition
Subject Categories
- Artificial IntelligenceQ3
- Computer Science ApplicationsQ3
- Hardware and ArchitectureQ3
- SoftwareQ3
- Theoretical Computer ScienceQ3
Areas: Computer Science · Mathematics
Most published research topics
Source: OpenAlex
Publication Statistics
Documents per Year
Detailed Information
ISSN
1389-2576, 1573-7632
SJR Best Quartile
Q3
Region
Northern America
Citations per Document (2 years)
2.33
References per Document
50.55
Coverage
2003-2026
Scope
The journal of Genetic Programming and Evolvable Machines is devoted to reporting innovative and significant progress in automatic evolution of software and hardware. Methods for artificial evolution of active components, such as programs or machines, 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 and produce as a result computational expressions such as algorithms or machines such as mechanical or electronic devices that actively process environmental information and transform their environment. 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.
Metrics from SCImago Journal Rank 2025. View on SCImago