Evolutionary Algorithms, Optimization, and Data Mining with Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: 31 August 2026 | Viewed by 765
Special Issue Editor
Interests: evolutionary algorithm; gene expression programming; machine learning; data engineering for big data analytics in smart grid; HPC; smart manufacturing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Evolutionary algorithms play a vital role in solving big data-related problems of modern complex systems. This Special Issue focuses on recent research on novel mathematical solutions proposed for the Evolutionary Algorithms in the data mining domain. Research about the correlation among the optimization, EAs and data mining is highly recommended for this Special Issue. The highlighted topics include, but are not limited to, the following domains: the application of Evolutionary Algorithms for data mining problems; the optimization of Evolutionary algorithms; general schema theory study for Evolutionary Algorithms; the building block concept in the Genetic Algorithm, Genetic Programming and Gene Expression Programming; the integration of large language models (LLMs); automated parameter tuning; the reliability and performance evaluation of LLMs; the schema/building block study in Differential Evolution; the evaluation of the evolution process in Hybrid Algorithms (the memetic algorithms combine the global search of EAs with local search methods).
Dr. Zhengwen Huang
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- genetic algorithms
- genetic programming
- gene expression programming
- schema theory
- building block
- fitness function
- system optimization
- large language models
- differential evolution
- hybrid algorithms
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
