Journal profile · Computer Science, Theory & Methods

Genetic Programming and Evolvable Machines

ISSN 1389-2576 · eISSN 1573-7632 · Springer US · UNITED STATES · Quarterly · Founded 2000

Genetic Programming and Evolvable Machines: CAS Zone 4 · Computer Science (2025 upgraded edition); impact factor 1.95; hybrid open access; APC about USD 2,090; median 183 days to acceptance (32 articles, last 24 months); community-reported acceptance: easy; 24 articles in 2025; indexed in SCIE and Scopus.

Impact factor1.95Latest value listed by LetPub
CAS zoneZone 4 · Computer Science2025 upgraded edition, major category · 2026 Xinrui edition Zone 4 · Computer Science
Review time183 daysMedian, submission to acceptance · 32 articles, last 24 months · Crossref
APCUSD 2,090Hybrid journal: charged only for open-access articles
AcceptanceEasyCommunity average
Articles per year242025 · OpenAlex count

Scope

Aims, scope and focus

Genetic Programming and Evolvable Machines is published by Springer US and is in Zone 4 of Computer Science in the CAS Journal Ranking (2025 upgraded edition). By OpenAlex counts of its recent articles, its largest topics are Evolutionary Algorithms and Applications, Metaheuristic Optimization Algorithms Research and Reinforcement Learning in Robotics, together about 62.2% of its articles. Its main subfields are Artificial Intelligence and Molecular Biology. (generated from OpenAlex topic counts and CAS ranking data)

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.Methods:Genetic Programming; Variable-size evolutionary algorithms; Induction of algorithms and symbolic expressions by iterative and non-deterministic search; Evolutionary design and Optimization of electronic circuits and mechanical devices; On-line adaptation of hardware and software; Evolutionary robotics; DNA computing; Coevolutionary techniques; Meta-learning; Hybrid systems; Cellular and Developmental approaches.Task Domains:Algorithm evolution; Artificial Intelligence; Agents; Architecture; Art and animation; Classification and pattern recognition; Computer graphics; Computing; Circuit design; Data mining; Distributed problem solving; Engineering design applications; Games; Hardware and software testing and verification; Image and signal processing; Interactive evolution; Molecular biology applications; Music; Natural language processing; Network routing; Optimization; Process control; Robotics and motor control; Self-repair; Self-reproduction of software and hardware, Self-programming; System modeling.Both theoretical papers (preferably including computer simulations) and application papers are welcome. Papers describing hardware implementations are strongly encouraged. Papers in the areas of artificial life, molecular computing and any other emergent computation technique will be considered as well.

From the journal's Aims & Scope

Research area (LetPub): Computer Science, Theory & Methods

Editor-in-chief Leonardo TrujilloPublisher website

Editorial board by country: none in mainland China; most named United States 22, United Kingdom 18, Italy 7, Canada 7, New Zealand 6 (106 members with a country) Editorial board ↗Publisher website ·

Main research topics OpenAlex counts of recent articles; shares are approximate

  1. Evolutionary Algorithms and ApplicationsComputer Science33.8%
  2. Metaheuristic Optimization Algorithms ResearchComputer Science22.8%
  3. Reinforcement Learning in RoboticsComputer Science5.6%
  4. Advanced Multi-Objective Optimization AlgorithmsComputer Science5.2%
  5. Viral Infectious Diseases and Gene Expression in InsectsBiochemistry, Genetics and Molecular Biology4.3%
  6. Evolution and Genetic DynamicsBiochemistry, Genetics and Molecular Biology4.3%
  7. Gene Regulatory Network AnalysisBiochemistry, Genetics and Molecular Biology3.1%
  8. Neural Networks and ApplicationsComputer Science2.3%

Rankings & indexing

CAS ranking and database indexing

CAS Journal Ranking

CAS Journal Ranking, upgraded edition (March 2025)Computer Science Zone 4
LevelCategoryZone
MajorComputer ScienceZone 4
MinorComputer Science, Artificial IntelligenceZone 4
MinorComputer Science, Theory & MethodsZone 4

Top journal: noReview journal: no

CAS Xinrui Journal Ranking (March 2026)Computer Science Zone 4
LevelCategoryZone
MajorComputer ScienceZone 4
MinorComputer Science, Artificial IntelligenceZone 4
MinorComputer Science, Theory & MethodsZone 4

Top journal: noReview journal: not marked

CAS Journal Ranking, previous upgraded edition (December 2023)Computer Science Zone 3
LevelCategoryZone
MajorComputer ScienceZone 3
MinorComputer Science, Theory & MethodsZone 3
MinorComputer Science, Artificial IntelligenceZone 4

Top journal: noReview journal: no

Database indexing

SCIEScopusLetPub

International journal early-warning lists: not listed in any editionLetPub

Indexing the journal's website claims

EI CompendexINSPECDBLPCurrent ContentsPublisher website

Other: Google Scholar, EBSCO, ProQuest, Dimensions, CNKI, Baidu, ACM Digital Library, Naver, OCLC, Portico, CLOCKSS

As the journal's website lists them, not checked against each database; for Web of Science editions the records above apply.

Editions, and major and minor categories, are shown separately and never merged into one zone; check which edition your institution uses before you submit or report.

Metrics

Impact metrics and publication volume

Impact

Impact factor
1.95LetPub ·
Impact factor (publisher) 2025
1.9Publisher website ·
5-year impact factor (publisher) 2025
2.2Publisher website ·
CiteScore 2026-06
3.5LetPub ·
SJR 2026-06
0.42LetPub ·
SNIP 2026-06
1.09LetPub ·
h-index
36LetPub ·
h-index
64OpenAlex ·
i10-index
313OpenAlex ·
2-year mean citedness
4.28OpenAlex ·
Self-citation rate
10.5%LetPub ·
Share of gold OA articles
49.09%LetPub ·

Volume

Articles per year
14LetPub ·
Downloads per year (publisher) 2025
163,000Publisher website ·

Articles by year OpenAlex count · 695 in total · the current year is incomplete

YearArticlesOpen accessCitations
202616126
2025241633
20242717248
2023302383
20222010128
20213023276

Sources count differently and were observed at different times, so each source's own value is kept; "publisher" marks figures from the journal's website.

Review & acceptance

Review time and acceptance

Review time from article dates manuscript dates registered with Crossref · to

183 daysMedian, submission to acceptance · P25–P75 138 days – 255 days

Acceptance to online
median 22 days (34 articles)
Submission to online
median 214 days
Sample
32 articles with submission and acceptance dates (49 in the window); the latest was accepted on

Only articles that were accepted and published are counted, not the time spent on rejected manuscripts, so this usually runs longer than a publisher's "time to first decision".

Other sources

Average review time (community reports)
over 12 weeksLetPub ·
Average acceptance (community reports)
EasyLetPub ·
Submission to first decision
4 daysPublisher website ·
Peer review
Double anonymous peer reviewPublisher website

Community reports come from authors' own submissions (confidence 0.5) and are not a promise from the journal; for publisher figures, the journal's own definitions apply.

Fees & open access

APC and open-access policy

Hybrid open accessLetPub

A subscription journal in which authors can pay to publish their article open access.

SourceAPCFee waiverLicenseObserved
OpenAlexUSD 2,090 / EUR 2,990——
Publisher websiteNo APC——

A hybrid journal charges the APC only when the author chooses open access; publishing under the subscription model is usually free.

The journal's website is authoritative for fees; sources were observed at different times and each keeps its own value, without averaging.

Submission

Article types and submission policies (journal website)

Open calls for papers3, by deadline
  1. Highlights of Genetic Programming 2026 Events (invite-only)Deadline
  2. Special Issue on Lexicase SelectionDeadline
  3. Special Issue on the Emergence of Modularity and Self-OrganizationDeadline
Publisher website
What to prepare4 items from the author guidelines
Abstract
150–250 words
Keywords
≥ 4
Reference style
Numbered, in order of citation
Suggested reviewers
Optional
Publisher website · model-extracted, each line checked against the text
Article types accepted4
  1. editorialFrequently Asked Questions A complete list of general journal Frequently Asked Questions (FAQs) can be found at: http://www.springer.com/gp/authors-editors/jour…Length not stated
  2. research lettersConcise research contributions in real-world implementations, replication studies, datasets, tools, benchmarks, and methodological advancements. Intended for ra…Length not stated
  3. research: original research articlesFull-length articles presenting novel, high-quality research in genetic programming, evolutionary computation, and evolvable machines. Topics include theoretica…Length not stated
  4. reviews: surveys, systematic reviews and sok articlesIn-depth, comprehensive surveys of established or emerging topics in genetic programming and evolvable machines. Includes systematic reviews, meta-analyses, sta…Length not stated
Publisher website
Policy excerpts from the journal's websiteAI use, Authorship, Conflicts of interest, Data availability, Publication ethics, License & copyright, Open access, Peer review
AI use Generative AI Images

Please check Springer’s policy on generative AI images and make sure your work adheres to the principles described therein. Back to top

Source ↗Publisher website ·
Authorship Authorship principles

These guidelines describe authorship principles and good authorship practices to which prospective authors should adhere to. Authorship clarified The Journal and Publisher assume all authors agreed with the content and that all gave explicit consent to submit and that they obtained consent from the responsible authorities at the institute/organization where the work has been carried out, before th…

Source ↗Publisher website ·
Conflicts of interest Disclosures and declarations

All authors are requested to include information regarding sources of funding, financial or non-financial interests, study-specific approval by the appropriate ethics committee for research involving humans and/or animals, informed consent if the research involved human participants, and a statement on welfare of animals if the research involved animals (as appropriate). The decision whether such …

Source ↗Publisher website ·
Data availability Data availability statements

Data transparency: authors must ensure data, materials, software and code support published claims and comply with field standards. Model summary

All original research must include a data availability statement. This statement should explain how to access data supporting the results and analysis in the article, including links/citations to publicly archived datasets analysed or generated during the study. Please see our full policy here. If it is not possible to share research data publicly, for instance when individual privacy could be com…

Source ↗Publisher website ·
Publication ethics Compliance with Ethical Standards

To ensure objectivity and transparency in research and to ensure that accepted principles of ethical and professional conduct have been followed, authors should include information regarding sources of funding, potential conflicts of interest (financial or non-financial), informed consent if the research involved human participants, and a statement on welfare of animals if the research involved an…

Source ↗Publisher website ·
License & copyright Copyright

Open Choice articles do not require transfer of copyright as the copyright remains with the author. In opting for open access, the author(s) agree to publish the article under a Creative Commons license. Details of the OA licences offered to authors can be found on the individual journal website, in the journal's How to publish with us guide. Back to top

Source ↗Publisher website ·
Open access Open access publishing

To find out more about publishing your work Open Access in Genetic Programming and Evolvable Machines, including information on fees, funding and licences, visit our Open access publishing page. Back to top

Source ↗Publisher website ·
Peer review

Reviewer suggestion: authors may suggest suitable reviewers and/or request exclusion of certain individuals at submission. Model summary

Authors are welcome to suggest suitable reviewers and/or request the exclusion of certain individuals when they submit their manuscripts. When suggesting reviewers, authors should make sure they are totally independent and not connected to the work in any way.

Source ↗Publisher website ·

Excerpts are quoted from the journal's website; "model summary" lines are written by Workers AI and checked against the text. The journal's website is authoritative.

Profile

Publication details and official links

Publisher
Springer US
Country or region
UNITED STATES
Language
English
Frequency
Quarterly
Founded
2000
ISSN
1389-2576
Electronic ISSN
1573-7632
Official links

FAQ

Frequently asked questions about Genetic Programming and Evolvable Machines

What CAS zone is Genetic Programming and Evolvable Machines in?

In the 2025 upgraded edition of the CAS Journal Ranking, Genetic Programming and Evolvable Machines is in Zone 4 of Computer Science, and in Zone 4 of the minor category Computer Science, Artificial Intelligence / Computer Science, Theory & Methods. In the 2026 Xinrui edition it is in Zone 4 of Computer Science. Zones from different editions, and from major and minor categories, are not interchangeable.

What is the impact factor of Genetic Programming and Evolvable Machines?

The latest impact factor listed by LetPub is 1.95; CiteScore 3.5, h-index 64.

How long does peer review take at Genetic Programming and Evolvable Machines?

Based on the dates recorded on 32 articles published between October 2024 and October 2026 (the last 24 months), the median time from submission to acceptance is 183 days (interquartile range 138–255 days); authors report an average review time of over 12 weeks; the community-reported acceptance is “Easy”. Article statistics cover accepted papers only, publisher figures follow the journal's own definitions, and community reports come from authors' own submissions; none is a promise from the journal.

What are the manuscript requirements of Genetic Programming and Evolvable Machines?

According to the journal's author guidelines: Abstract: 150–250 words; Keywords: ≥ 4; Reference style: Numbered, in order of citation; Suggested reviewers: Optional. A model extracted these from the author guidelines and each was checked against the text; check the latest version on the journal's website before submitting.

Where are the editorial board members of Genetic Programming and Evolvable Machines based?

Of the 106 board members whose country the journal's board page names, none are in mainland China; the countries named most often are United States (22), United Kingdom (18) and Italy (7). Counted from the institutions listed on the board page; for reference only.

Which databases index Genetic Programming and Evolvable Machines?

According to LetPub and DOAJ records, Genetic Programming and Evolvable Machines is indexed in SCIE and Scopus. The journal's website also lists EI Compendex, INSPEC, DBLP and Current Contents; that list has not been checked against each database.

Is Genetic Programming and Evolvable Machines open access, and what is the APC?

Genetic Programming and Evolvable Machines is a hybrid journal. For open-access publication: APC about USD 2,090.

Sources and updates

The facts on this page come from LetPub, OpenAlex, Publisher website; every figure is tagged with its source and the date it was observed, and conflicting values are kept per source. LetPub source page: view ↗ (archived 2026-08-25). Last updated: .