Numerical and Evolutionary Optimization 2025
A special issue of Mathematical and Computational Applications (ISSN 2297-8747).
Deadline for manuscript submissions: 31 March 2026 | Viewed by 2258
Special Issue Editors
Interests: data science; machine learning; evolutionary computation; HPC
Special Issues, Collections and Topics in MDPI journals
Interests: experimental algorithmics; metaheuristics; genetic algorithms; combinatorial optimization; machine learning; causal inference applications
Special Issues, Collections and Topics in MDPI journals
Interests: evolutionary computation; machine learning; data science; computer vision
Special Issues, Collections and Topics in MDPI journals
Interests: signal enhancement; wavelets; fractals; fractal analysis; Hölderian regularity; Hölder exponents; estimation; regression; denoising; optimal rate of convergence; minimax; risk; interpolation; extrapolation; road/tyre friction; indenters; multi-scale; evolutionary algorithms; genetic programming; bloat control; stereovision; classification; matching; biomedical applications; EEG analysis; cochlear implants; virtual analogue modeling; amplifier; neural networks
Interests: multi-objective optimization; evolutionary computation (genetic algorithms and evolution strategies); numerical analysis; engineering applications
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue will mainly consist of selected papers presented at the 12th International Workshop on Numerical and Evolutionary Optimization (NEO 2025; see https://neo-workshop.com for detailed information). However, other works that fit within the scope of NEO are also welcome.
The aim of this Special Issue is to collect papers on the intersection of numerical and evolutionary optimization. We strongly encourage the development of fast and reliable hybrid methods that maximize the strengths and minimize the weaknesses of each underlying paradigm while also being applicable to a broader class of problems. Moreover, this Special Issue aims to foster an understanding and adequate treatment of real-world problems, particularly in emerging fields that affect us all, such as healthcare, smart cities, and big data, among many others.
Topics of interest include (but are not limited to) the following:
(A) Search and optimization:
- Single- and multi-objective optimization;
- Mathematical programming techniques;
- Evolutionary algorithms;
- Genetic programming;
- Hybrid and memetic algorithms;
- Set-oriented numerics;
- Stochastic optimization;
- Robust optimization.
(B) Real-world problems:
Optimization, machine learning, and metaheuristics applied to:
- Energy production and consumption;
- Health monitoring systems;
- Computer vision and pattern recognition;
- Energy optimization and prediction;
- Modeling and control of real-world energy systems;
- Smart cities.
Prof. Dr. Daniel E. Hernández
Dr. Marcela Quiroz-Castellanos
Dr. Leonardo Trujillo
Prof. Dr. Pierrick Legrand
Prof. Dr. Oliver Schütze
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 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. Mathematical and Computational Applications 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 1600 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
- single- and multi-objective optimization
- evolutionary algorithms
- genetic programming
- hybrid and memetic algorithms
- set-oriented numerics
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