Numerical and Evolutionary Optimization 2024

A special issue of Mathematical and Computational Applications (ISSN 2297-8747).

Deadline for manuscript submissions: 31 December 2024 | Viewed by 236

Special Issue Editors


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Guest Editor
Escuela Superior de Física y Matemáticas del Instituto Politécnico Nacional, Mexico City 07738, Mexico
Interests: many-objective optimization; numerical optimization; machine learning; industry applications

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Guest Editor
Departamento de Ingeniería en Electrónica y Eléctrica, Instituto Tecnológico de Tijuana, Calzada Tecnológico SN, Tomas Aquino, Tijuana 22414, Mexico
Interests: evolutionary computation; machine learning; data science; computer vision
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Depto de Computacion, CINVESTAV, Mexico City 07360, Mexico
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 11th International Workshop on Numerical and Evolutionary Optimization (NEO 2024; see http://neo.cinvestav.mx for detailed information). However, other works that fit within the scope of the NEO are also welcome. Papers considered to fit the scope of the journal and to be of sufficient quality after evaluation by the reviewers will be published free of charge.

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.

Dr. Marcela Quiroz-Castellanos
Dr. Oliver Cuate
Dr. Leonardo Trujillo
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 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. 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 1400 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 and genetic programming
  • hybrid and memetic algorithms
  • set-oriented numerics
  • stochastic optimization
  • robust optimization

Published Papers

This special issue is now open for submission.
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