Special Issue "Black-Box Algorithms and Their Applications"
A special issue of Algorithms (ISSN 1999-4893).
Deadline for manuscript submissions: 1 November 2022 | Viewed by 779
Black-box algorithms require little to no information from the system under study and are often versatile and general enough to be applied to a wide range of problems in different domains. The most notable examples include black-box optimization algorithms such as zeroth-order and Bayesian optimization algorithms, which do not require derivatives or other explicit information for the function under optimization. Such algorithms have become an asset to various domains, such as machine learning, artificial intelligence, and cybersecurity. The scientific community can greatly benefit from the development of more efficient and scalable black-box algorithms.
We cordially invite you to submit high-quality research and review papers for this Special Issue on “Black-box Algorithms and Their Applications”, with subjects ranging from theories to applications of black-box algorithms. Submitted articles may focus on recent advances in black-box algorithms, including but not limited to:
- The convergence, sample efficiency, acceleration, or other theoretical perspectives of black-box algorithms;
- Novel applications of black-box algorithms, such as applications to machine learning, artificial intelligence, control theory, cybersecurity, and intelligent systems;
- Software toolkits and benchmarks of black-box algorithms.
Dr. Huan Zhang
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. 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 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.
- black-box optimization
- black-box function
- zeroth order optimization
- bayesian optimization
- derivative-free optimization
- stochastic approximation
- black-box importance sampling
- black-box robust optimization
- black-box algorithms for machine learning
- black-box algorithms for artificial intelligence
- black-box algorithms for cybersecurity
- black-box optimizers
- black-box systems