Data-Driven Models and Algorithms for Planning, Scheduling, and Optimizing Intelligent Systems
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "D2: Operations Research and Fuzzy Decision Making".
Deadline for manuscript submissions: 31 July 2026 | Viewed by 17
Special Issue Editor
Special Issue Information
Dear Colleagues,
We invite researchers, practitioners, and industry experts to contribute original papers to our upcoming special issue on Data-Driven Models and Algorithms for Planning, Scheduling, and Optimizing Intelligent Systems. The increasing availability of big data, advances in machine learning, and the growing complexity of intelligent systems have created a pressing need for innovative approaches to decision-making and optimization. This special issue seeks contributions that explore novel data-driven methodologies, algorithmic frameworks, and computational techniques that enhance planning and scheduling efficiency across diverse domains, including manufacturing, logistics, energy, healthcare, and smart cities.
Topics of interest include, but are not limited to: predictive and prescriptive analytics for decision support; optimization algorithms leveraging AI and machine learning; scheduling under uncertainty; multi-objective and real-time optimization; data-driven resource allocation; and hybrid models integrating simulation and optimization. Both theoretical developments and applied research are welcome. Submissions should highlight methodological advances, practical relevance, and potential impact in shaping the next generation of intelligent systems.
Prof. Dr. Zubair Mohamed
Guest Editor
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. Mathematics 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 2600 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
- data-driven decision making
- intelligent systems
- planning and scheduling
- optimization algorithms
- machine learning for optimization
- predictive and prescriptive analytics
- real-time optimization
- scheduling under uncertainty
- hybrid models
- simulation-based optimization
- big data analytics
- smart manufacturing
- logistics and supply chain optimization
- energy systems optimization
- healthcare scheduling
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.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
