Genetic Programming and Evolvable Machines is a journal dedicated to the automatic evolution of software and hardware. Reports innovative and significant progress in adaptive computation and engineering. Features both theoretical and application papers. Covers hardware implementations, artificial life, and emergent computation techniques. Explores related topics such as evolutionary algorithms with variable-size genomes and alternate methods of program induction. Examines systems development approaches based on embryology, morphogenesis, or other techniques inspired by adaptive natural systems.
⚡ Speed vs Prestige
How does this journal balance review speed with impact level?
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Computer Science ApplicationsQ3
Hardware and ArchitectureQ3
SoftwareQ3
Theoretical Computer ScienceQ3
Subject Classification
Web of Science Categories
Computer Science, Artificial IntelligenceComputer Science, Theory & Methods
Scopus Categories
Computer Science ApplicationsHardware and ArchitectureSoftwareTheoretical Computer Science
Research Topics (OpenAlex)
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