Genetic Programming and Evolvable Machines

SJR Rank #13,676H-index: 47SJR: 0.421Best quartile: Q3APC: US$2,090
Journal website: aims, scope and author guidelines
Publisher

Springer

Country

United States

Type

journal

SJR by Edition

2022202500.20.40.60.8

Subject Categories

  • Artificial IntelligenceQ3
  • Computer Science ApplicationsQ3
  • Hardware and ArchitectureQ3
  • SoftwareQ3
  • Theoretical Computer ScienceQ3

Areas: Computer Science · Mathematics

Most published research topics

Evolutionary Algorithms and ApplicationsMetaheuristic Optimization Algorithms ResearchReinforcement Learning in RoboticsAdvanced Multi-Objective Optimization AlgorithmsViral Infectious Diseases and Gene Expression in InsectsEvolution and Genetic DynamicsGene Regulatory Network AnalysisNeural Networks and ApplicationsCRISPR and Genetic EngineeringModular Robots and Swarm Intelligence

Source: OpenAlex

Publication Statistics

2025 Docs3-Year DocsCitable Docs020406080

Documents per Year

2022202506121824

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