Smart Algorithms for Computing, Modeling and Optimization
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Combinatorial Optimization, Graph, and Network Algorithms".
Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 1046
Special Issue Editors
Interests: industrial engineering; applied mathematics; supply chain management
Special Issues, Collections and Topics in MDPI journals
Interests: deep learning; data analytics, especially targeting graph convolutional neural networks (GCNN) and graph recurrent neural networks (GRNN); hyper-graph attentions; end-to-end steering learning systems; design algorithms in drug discovery and quantum machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: optimization; applied computational mathematics; OR; stastical simulation
Special Issues, Collections and Topics in MDPI journals
Interests: natural language processing; data mining; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; computing in mathematics; natural science; engineering and medicine algorithms
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are happy to inform you that the Fifth International Conference on Intelligent Computing and Optimization 2022 will be held on October 27–28, 2022.
Please visit the following website for detailed information on the conference: https://www.icico.info/.
In this regard, we would like to invite authors to submit an extended version of their best selected papers for this Special Issue.
The recommended topics include, but are not limited to, the following:
theory of parallel/distributed computing; parallel algorithms and their implementation; resource allocation and management; task mapping and job scheduling; network routing and communication algorithms; distributed data and knowledge-based systems; supercomputing; personal computing; pervasive computing; heterogeneous computing; transportation models; machine learning models; category theory; data acquisition; metaheuristic optimization; deep neural networks; deep learning neural networks; hybrid algorithms; quantum annealing; iterative DC algorithms; tourism clusters; ARCH model; GARCH model; queuing; harmony search.
Prof. Dr. José Antonio Marmolejo Saucedo
Prof. Dr. Joshua Thomas
Prof. Dr. Elias Munapo
Prof. Leo Mrsic
Dr. Pandian Vasant
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. 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 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
- smart algorithms
- smart computing
- smart optimization
- machine learning
- smart supply chain
- modeling
- deep learning
- big data
- Industry 4.0
- robotics
- smart farming
- agro-business
- green technology
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