Complex System Modeling and Simulation

Aims & Scope

Complex System Modeling and Simulation (Published by Tsinghua University Press) is a peer-reviewed international academic journal.

Aiming to provide an academic exchange platform, it publishes high-level original research papers and review papers in the fields of complex system modeling, simulation, optimization and control after strict peer review.

The scope includes but is not limited to the following topics in terms of theories, methods, technologies as well as applications in manufacturing systems, social systems, service systems, military systems, medical systems, energy systems, and unmanned systems, etc. • Complex system modeling theory and methodology • Complex adaptive system modeling • Complex engineering system modeling • Complex network modeling • Multi-agent modeling • Complex adaptive system simulation • Complex engineering system simulation • Complex network simulation • Multi-agent simulation • Human-machine co-simulation and digital twin • Complex system intelligent optimization • Complex system simulation based optimization • Complex system intelligent control • Complex system intelligent scheduling • Practical applications on complex systems

Metrics & Ranking

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Directory of Open Access Journals (DOAJ)

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Engineering, designed to support cutting-edge academic discovery.

Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

Policy Links

This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.

• Aims scope
• Homepage
• Oa statement
• Author instructions
• License terms
• Review url
• Board url
• Copyright url
• Plagiarism url
• Apc url
• License

Plagiarism Policy

This journal follows a plagiarism policy. All submitted manuscripts are screened using reliable plagiarism detection software to ensure originality and academic integrity. Authors are responsible for proper citation and acknowledgment of all sources, and any form of plagiarism, including self-plagiarism, will not be tolerated.

For more details, please refer to our official: Plagiarism Policy.

APC Details

The journal’s Article Processing Charge (APC) policies support open access publishing in Engineering, ensuring accessibility and quality in research dissemination.

This journal does not charge a mandatory Article Processing Charge (APC). However, optional open access publication may incur fees based on the publisher’s policies.

Explore journals without APCs for alternative publishing options.

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• A Review of Reinforcement Learning Based Intelligent Optimization for Manufacturing Scheduling

  Citation: 224

  Authors: Ling, Zixiao, Jingjing

• Distributed Flow Shop Scheduling with Sequence-Dependent Setup Times Using an Improved Iterated Greedy Algorithm

  Citation: 117

  Authors: Xue, Yuyan, Qingda, Junqing, Hongyan, Yiping, Quanke, Yusuke

• A Novel Cooperative Multi-Stage Hyper-Heuristic for Combination Optimization Problems

  Citation: 98

  Authors: Fuqing, Shilu, Jie, Jianxin

• Nonlinear Equations Solving with Intelligent Optimization Algorithms: A Survey

  Citation: 87

  Authors: Wenyin, Zuowen, Xianyan, Ling, Yuanyuan

• Review of Dynamic Task Allocation Methods for UAV Swarms Oriented to Ground Targets

  Citation: 63

  Authors: Qiang, Husheng, Ruisong

• A Multi-Objective Scheduling and Routing Problem for Home Health Care Services via Brain Storm Optimization

  Citation: 55

  Authors: Xiaomeng, Yaping, Kaizhou, Lihua, Ali

• Q-Learning-Based Teaching-Learning Optimization for Distributed Two-Stage Hybrid Flow Shop Scheduling with Fuzzy Processing Time

  Citation: 43

  Authors: Bingjie, Deming

• Solving Nonlinear Equations Systems with an Enhanced Reinforcement Learning Based Differential Evolution

  Citation: 41

  Authors: Zuowen, Shuijia

• Multidirection Update-Based Multiobjective Particle Swarm Optimization for Mixed No-Idle Flow-Shop Scheduling Problem

  Citation: 37

  Authors: Wenqiang, Wenlin, Chen, Weidong, Mitsuo

• Multi-UAV Cooperative Trajectory Planning Based on Many-Objective Evolutionary Algorithm

  Citation: 36

  Authors: Hui, Tian, Yuan, Zhihua