Evolutionary Algorithms and Mathematical Optimization with Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".
Deadline for manuscript submissions: 31 August 2026 | Viewed by 3
Special Issue Editors
Interests: many-objective optimization; evolutionary computation; machine learning; data minning; swarm robotics
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent optimization algorithm; swarm intelligence; data mining
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Many real-world problems involve multiple, often competing objectives and require interdisciplinary approaches for effective solutions. Optimization methods have become essential across a broad range of scientific and engineering disciplines where complex challenges are increasingly framed as optimization tasks. Since the mid-1990s, population-based heuristic approaches have been widely used in the field of evolutionary multi-criterion optimization (EMO) to address such problems. This is evidenced by the rapidly growing number of research publications and by the availability of many related software tools.
The main aim of this Special Issue is to bring together both experts and newcomers to discuss new and existing issues in evolutionary and mathematical optimization, and in particular to continue the integration and blending of ideas between evolutionary computation and mathematical optimization researchers, and to stimulate engagement with the user community.
Scope and topics
We welcome full papers that discuss recent advances in the development and application of evolutionary algorithms and mathematical optimization approaches. Specific optimization models and solution tools, including evolutionary multi-criterion optimization either based on mathematical techniques or on evolutionary algorithms, devoted to the treatment of scientific, engineering, and management applications are also of great interest.
You are invited to submit your unpublished, original work. Topics of interest include, but are not limited to, the following:
- Novel mathematical programming models;
- New evolutionary operators;
- Constraint handling within evolutionary algorithms;
- Hybrid algorithms and metaheuristics;
- Continuous and combinatorial optimization;
- Multi-objective and many-objective optimization;
- Interactive multi-objective optimization;
- Dynamic multi-objective optimization;
- Multiple-criteria decision making;
- Multiple-criteria choice, ranking, and sorting;
- Evolutionary many-objective optimization;
- Pareto optimal knee front search;
- Hybrid EMO-MCDM methodologies;
- Theoretical aspects of EMO and MCDM methodologies;
- Preference modeling;
- Multiple attribute utility theory;
- Outranking methods;
- Goal programming;
- Data-driven and model-based multi-objective optimization;
- Applications in government, business, industry and interdisciplinary sciences.
Dr. Rui Wang
Dr. Shi Cheng
Guest Editors
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 100 words) can be sent to the Editorial Office for announcement on this website.
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
- evolutionary computation
- mathematical optimization
- multi/many-objective optimization
- decision making
- combinatorial optimization
- metaheuristics
- data-driven optimization
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