Scheduling: Algorithms and Real-World Applications
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: 31 July 2024 | Viewed by 509
Special Issue Editor
Special Issue Information
Dear Colleagues,
We are thrilled to invite you to contribute to our upcoming Special Issue on "Scheduling: Algorithms and Real-World Applications" We actively seek the latest advancements in scheduling algorithms and their diverse applications, encouraging researchers, academicians, and professionals to share their expertise and insights, enriching our understanding of this evolving field. The Special Issue aims to bring together cutting-edge research, focusing on both theoretical and practical applications of scheduling algorithms. We welcome contributions exploring innovative scheduling methodologies to address the varied demands of modern industries and services, including novel scheduling algorithms, metaheuristic and optimization techniques, and machine learning approaches for scheduling. This Special Issue extends scope beyond traditional scheduling domains like manufacturing, energy markets, healthcare, transportation, and logistics, to emerging technologies and realms such as cloud manufacturing, data center scheduling, adaptive scheduling, real-time scheduling for cyber-physical systems, digital twin-based scheduling, scheduling in the Internet of Things (IoT), quantum computing, and blockchain. Join us in shaping the discourse on "Scheduling: Algorithms and Real-World Applications" by submitting your groundbreaking research. Together, let us deepen our understanding of scheduling algorithms and their new practical applications. Your insights will play a crucial role in advancing the conversation in this field.
We look forward to receiving your submissions and appreciate your active involvement in shaping this Special Issue.
Dr. Mohammad Rohaninejad
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. 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
- metaheuristics algorithms
- exact algorithms
- heuristic methods for scheduling
- machine learning in scheduling
- hybrid optimization techniques for scheduling
- multi-objective scheduling
- agent-based scheduling
- robust scheduling
- data-driven scheduling
- fuzzy logic in scheduling
- dynamic scheduling algorithms
- predictive and reactive scheduling
- swarm intelligence in scheduling
- decision support systems for scheduling
- real-time scheduling
- constraint-based scheduling
- game theory for scheduling
- network-based scheduling
- scheduling problems in manufacturing, energy markets, healthcare
- transportation, and logistics, supply chain, etc.
- scheduling problems in emerging technologies
