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Simulation Tools and Applications
This special issue belongs to the section “Algorithms for Multidisciplinary Applications“.
Special Issue Information
Dear Colleagues,
This Special Issue focuses on a broad range of research challenges in the field of simulation, modeling, and analysis, addressing current and future trends in simulation tools, techniques, models, and industrial applications.
The Special Issue invites submissions on the topics below in all areas of modeling and simulation. Submissions in interdisciplinary areas are especially encouraged, such as the following: transportation and logistics, production and manufacturing, smart cities, healthcare systems, telecommunication systems, energy systems, environmental challenges, bioinformatics, mathematical analysis and simulation, societal challenges, complex systems, and so on. The Special Issue also invites industrial case studies in the area of the platforms, tools, and technologies related to modeling and simulation.
This Special Issue aims to present a collection of high-quality papers on the aforementioned topics. Both methodological as well as practical contributions are welcome. The Special Issue is open to well-known researchers in these topics. In particular, this Special Issue is strongly connected to the topics covered in the 16th EAI International Conference on Simulation Tools and Techniques (EAI SIMUtools 2024). Building on the success of the previous editions, this year’s edition will provide an exciting forum for interaction among academic and industry researchers together with practitioners from both the modeling and simulation community, the emulation community, the development community, and the different user communities. Extended versions of the best papers presented there (as well as at other conferences of similar quality) are also welcome. Still, this Special Issue is open to other submissions as well.
Prof. Dr. Angel A. Juan
Dr. José Luis Guisado Lizar
Prof. Dr. Bhakti Stephan Onggo
Dr. Patrick Hirsch
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 250 words) can be sent to the Editorial Office for assessment.
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 1800 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
- simulation methods: discrete event, Monte Carlo simulation, parallel and distributed simulation, agent-based simulation, simulation-optimization, symbiotic simulation, DEVS, cellular automata, lattice-Boltzmann, membrane computing, P-systems, Petri Nets, etc.
- simulation packages: widely used frameworks, both commercial and open-source
- big data simulation and techniques: big data analysis, big data modeling and processing
- simulation performance: GPU-based simulation, simulation in the cloud, scalability, performance analysis
- simulation verification, validation, accreditation, and analysis
- logistics and production simulation: applications of simulation to optimize supply chain management, warehouse operations, production processes, and overall logistics efficiency
- agent-based simulation: modeling complex systems using autonomous agents with specific behaviors and interactions, exploring the dynamics of decentralized decision-making and emergent phenomena
- AI and ML in simulation: integration of artificial intelligence and machine learning techniques to enhance simulation models
- quality, metrics, and efficiency in applications of IoT and big data
- simulation for decision support
- hybrid simulation approaches
- simulation and simulation tools in manufacturing and Industry 4.0
- simulation in smart logistics
- project management and construction
- simulation in digital twins
- quality and performance metrics for simulated systems
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Algorithms - ISSN 1999-4893