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- 4.5CiteScore
- 20 daysTime to First Decision
Optimization Algorithms and Applications
Special Issue Information
Dear Colleagues,
Optimization problems are all around us. Finding the optimal solutions to such problems may lead to the development of cheaper products, faster and more efficient production, and more sustainable solutions. However, solving a problem to optimality is generally difficult as well as time and resource consuming, and, in many cases, may be impractical with current software and hardware technologies. For such cases, approximation optimization algorithms are interesting tools that offer good solutions in a reasonable time frame.
This Special Issue aims to present a collection of recent high quality papers on optimization algorithms and their applications to problems in the real world, particularly on topics covered in the OLA2020 International Conference on Optimization and Learning. Extended versions of the best papers presented at the conference will be invited for submission to this issue and will go through a rigorous review process. However, the Special Issue is not restricted to those papers and is open to any research work matching the considered topics.
The best received works will be published with fully waived article processing charges.
Dr. Bernabe Dorronsoro
Dr. Juan Carlos de la Torre
Dr. Patricia Ruiz
Prof. Pascal Bouvry
Prof. El-ghazali Talbi
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. Algorithms is an international peer-reviewed open access monthly 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 1800 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
- heuristics and metaheuristics
- exact optimization algorithms
- new high-impact applications
- parameter tuning
- 4th industrial revolution
- bioinformatics
- smart cities
- intelligent transportation systems
- optimization for sustainability
- new research challenges
- hybridization issues
- simulation-based optimization
- meta-modeling
- high-performance and exascale computing
- surrogate modelling
- multi-objective optimization
- parallel optimization algorithms
- optimization for machine learning
- machine learning for optimization
- optimization and learning under uncertainty
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.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

