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.

All manuscript submissions and reviews will be handled by the MDPI submission system https://susy.mdpi.com/. All papers should be prepared according to the MDPI Guide for Authors.

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 papers will be 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. 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 1000 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.