Submissions
Submission Preparation Checklist
As part of the submission process, authors are required to check off their submission's compliance with all of the following items, and submissions may be returned to authors that do not adhere to these guidelines.- The submission has not been previously published, nor is it submitted to another journal for consideration.
- The submission file prepared using the template and is in PDF format.
- All references cited in the text has been listed in the list of references (and vice versa) using the IEEE referencing style.
- The text is single-spaced and file is in single-column; employs italics, rather than underlining (except with URL addresses).
- The text adheres to the stylistic and bibliographic requirements outlined in the Author Guidelines.
- For the revised papers: A detailed "response letter" to reviewer comments must be uploaded to explain how each comment has been handled.
- All illustrations, figures, and tables are placed within the text at the appropriate points, rather than at the end.
- TCMIS applies the single-blind peer-reviewing policy. Authors' names and affiliations should exist on the manuscript.
- Authors have all the copyrights for any material used in the manuscript.
Research Article
Section default policy
Operational Research and Optimization
This section covers manuscripts that fall under the fields:
- Deterministic and stochastic decision models
- Supply chain, logistics, and production systems modelling
- Mathematical modelling (linear and nonlinear programming models)
- Simulation-based optimization
- Resource allocation and scheduling problems
Applied Mathematis and Control
This section covers manuscripts that fall under the fields:
- Numerical analysis and scientific computing
- Optimal control and system identification
- Nonlinear and robust control systems
- Dynamical systems and stability analysis
- Modelling of biological systems
Computational Modelling & Simulation
This section covers manuscripts that fall under the fields:
- Mathematical modelling of complex systems
- High-fidelity simulations and surrogate modelling
- Agent-based and system dynamics approaches
- Multi-scale and hybrid models
Intelligent Systems
This section covers manuscripts that fall under the fields:
- Machine learning and data-driven modelling
- Fuzzy systems, neural networks, and metaheuristics
- Adaptive and learning-based control
- AI-driven decision support systems
Copyright Notice
All open access articles published in Transactions on Computational Modelling and Intelligent Systems (http://tcmis.org) are distributed under the terms of the CC BY-NC 4.0 license (Creative Commons Attribution Non-Commercial 4.0 International Public License as currently displayed at http://creativecommons.org/licenses/by-nc/4.0/legalcode) which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original work is properly cited.
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