We are currently accepting submissions for the book "Hybrid Methods for Modeling and Optimizing Complex Systems: Advances in Interdisciplinary Approaches to Solving Complex Problems," to be published in the Lecture Notes in Networks and Systems series.
In today's world, complex systems are ubiquitous, ranging from economics and industry to healthcare and education. Modeling and optimizing these systems require innovative approaches that combine various fields of knowledge and methodologies. This book aims to serve as a platform for exchanging cutting-edge ideas and research results in this rapidly evolving field.
We invite researchers, scientists, and practitioners to submit their original articles covering a wide range of topics, including:
We welcome interdisciplinary research, innovative approaches to solving complex optimization and control problems, and the application of modern information technologies across various industries.
The series contains proceedings and edited volumes in systems and networks, spanning the areas of Cyber-Physical Systems, Autonomous Systems, Sensor Networks, Control Systems, Energy Systems, Automotive Systems, Biological Systems, Vehicular Networking and Connected Vehicles, Aerospace Systems, Automation, Manufacturing, Smart Grids, Nonlinear Systems, Power Systems, Robotics, Social Systems, Economic Systems and other. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution and exposure which enable both a wide and rapid dissemination of research output.
Submission deadline: December 31, 2025
Don't miss this opportunity to contribute to the advancement of complex systems modeling and optimization!
The previous volume was published in Lecture Notes in Networks and Systems (volume 1481).
Hybrid modeling: fusion of mechanistic understanding and machine learning
Addressing complex, data-scarce, and nonlinear systems
Cloud-based optimization platforms
Explainable AI for critical decision-making
Hybrid digital twins for simulating real-world assets
Network-enabled architectures for distributed computing and agent-based coordination
Applications in transportation, sustainability, and smart manufacturing
Integration of ethical metrics into optimization frameworks
Multi-agent decision-making systems
Federated optimization across interconnected platforms
AI as an adaptive layer in large-scale, dynamic systems (energy, healthcare, sustainability)
Real-time AI coordination in networked environments (smart cities, autonomous transport)
Decentralized public health response systems
AI for disaster response and large-scale system management
Coordination of edge devices and IoT platforms
Anticipatory governance and risk mapping
Enabling equitable access to critical infrastructure
Innovative mathematical models bridging physics, biology, economics, social sciences
Modeling of complex communication networks and social contagion
Analysis of misinformation spread and strategic multi-agent behavior
Applications to disease dynamics, energy transition, industrial planning
Metrics for geopolitical stability
Digitalization of mathematics: symbolic AI and model discovery algorithms
Simulation of algorithmic governance
Modeling robustness and resilience in uncertain, interconnected environments
Advances in extracting information from large, dynamic, and heterogeneous data sources
Sensor, mobile device, and communication stream data analysis
Machine learning for real-time signal processing (telecom, satellite, cyber-physical systems)
Explainable pattern recognition and adversarial robustness
Decentralized knowledge discovery methods
Privacy-preserving learning in federated environments
Ethical algorithm design and AI monitoring systems
Automated discovery techniques for data-rich scientific domains
Adaptive and self-organizing mechanisms in AI for dynamic, non-stationary settings
Evolving architectures and meta-learning techniques
Distributed neural populations and collaborative multi-agent systems
Networked swarms and communication-aware learning
Collective intelligence in autonomous systems
Neuro-symbolic evolution for real-world reasoning
Ensuring trust, safety, and interpretability in adaptive AI systems
Applications to climate decision support, defense logistics, and social simulation
The series “Lecture Notes in Networks and Systems” publishes the latest developments in Networks and Systems—quickly, informally and with high quality. Original research reported in proceedings and post-proceedings represents the core of LNNS.
Volumes published in LNNS embrace all aspects and subfields of, as well as new challenges in, Networks and Systems.
The series contains proceedings and edited volumes in systems and networks, spanning the areas of Cyber-Physical Systems, Autonomous Systems, Sensor Networks, Control Systems, Energy Systems, Automotive Systems, Biological Systems, Vehicular Networking and Connected Vehicles, Aerospace Systems, Automation, Manufacturing, Smart Grids, Nonlinear Systems, Power Systems, Robotics, Social Systems, Economic Systems and other. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution and exposure which enable both a wide and rapid dissemination of research output.
The series covers the theory, applications, and perspectives on the state of the art and future developments relevant to systems and networks, decision making, control, complex processes and related areas, as embedded in the fields of interdisciplinary and applied sciences, engineering, computer science, physics, economics, social, and life sciences, as well as the paradigms and methodologies behind them.
Indexed by SCOPUS, EI Compendex, INSPEC, WTI Frankfurt eG, zbMATH, SCImago.
All books published in the series are submitted for consideration in Web of Science.
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The article is in English and formatted according to the publication's requirements. |
$ 210 |
Manuscript Formatting according the Publication Requirements |
$ 30 |
| Scientific Manusript Editting | $ 60 |
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Translation of the Manuscript in the English language (up to 25 thous. characters; 10-12 pages in the template)
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$ 90 |
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Professional Editting of the Author's Translation |
$ 60 |
Requirements for Articles for Publication in Lecture Notes in Networks and Systems
Dear authors! We invite you to submit your scientific papers for publication in the prestigious series Lecture Notes in Networks and Systems. To ensure a high quality of publications, please carefully review the following requirements:
Thematic relevance: The article must correspond to one of the announced topics of the collection.
Language: Articles are published in English. Submissions are accepted in English or Russian (articles in Russian will be translated into English for an additional fee of 9,000 rubles).
Structure: Mandatory sections include: Introduction, Materials and Methods, Results, Discussion, and Conclusion. A Acknowledgments section may be included if necessary.
Length: Minimum 10–12 pages in the publisher’s template, excluding the bibliography. Illustrations and tables should not exceed 25% of the total article length.
Authorship: Recommended number of authors is no more than 5.
The recommended length of a manuscript for publication in Lecture Notes in Networks and Systems is generally at least 30,000 characters including spaces.
Articles shorter than 20,000 characters including spaces will not be considered for publication.
The article length includes main text, tables, and figures, but excludes bibliography, title page, and abstract.
This requirement helps ensure sufficient scientific depth and topic coverage to meet the standards of international scientific publications of this class.
File format: Microsoft Word.
Formatting: Use the publisher’s template (see the template and instructions). Formatting by editors is a paid service (2,800 rubles).
Illustrations: Diagrams and tables are allowed but must be within the text boundaries.
Abstract: Minimum 100 words, maximum 200 words.
Bibliography: Minimum of 10 references, primarily articles from international journals.
Citations: Self-citations and citations of individual authors should not exceed one citation per author.
Originality: At least 85% originality (excluding the bibliography).
Plagiarism: All articles undergo mandatory plagiarism checks using iThenticate. Please refer to the “Originality Check” section.
Peer Review: Double-blind peer review is applied.
License Agreement: All authors must read and sign the license agreement, which is submitted as a PDF after acceptance.
Third-party Content: Third-party content is any material in the manuscript that is not your original work. This includes text fragments, images, photos, poems, song lyrics, screenshots, etc. These may be found in various sources including but not limited to internet, printed and online books and articles, dissertations, reports, conference materials, photocopies, educational packages, and translations. Special attention should be paid to sensitive images featuring recognizable faces, logos, brands/trademarks, agency or internet images, as well as textual content such as song lyrics, poems, interviews, social media content, and references to commercial organizations. When third-party content is used, permission for its use must be provided (permission form is available in the “Templates” section).
Each author should be cited only once, regardless of their authorship status.
No more than one citation per edition is allowed.
The publisher discourages citations of publications from the same publisher. For example, articles for EPJ Web of Conferences should not cite E3S Web of Conferences.
The abbreviation “et al.” is prohibited for hiding author names; a full list of all authors must be provided for every reference.
Bibliographic entries must include surnames and initials of all authors, regardless of number.
References should be complete and accurate, containing all necessary information to identify the source.
The bibliography must include only sources that are directly cited or mentioned in the text.
Relevant and up-to-date sources related to the research topic are recommended.
If available, please include the DOI (Digital Object Identifier) for each article.
Formatting of the bibliography should follow the citation style accepted by the publication.
Focus: Describe the actual work done.
Structure: Start with the phrase “In this work (or study)…” Minimum of 5 sentences, maximum 200 words.
Language: Use active verbs such as analyzed, investigated, identified, studied, defined, established, formed, proposed, developed, justified, presented.
Content: Provide a concise summary of the article, not conclusions or justification of relevance.
Information content: The article should contain elements of informatics or mathematics (models, schemes, approaches, logical diagrams, programming languages, cryptography, architectures, etc.).
When using third-party content, a Permission for its use must be submitted:
Identify all third-party content in your manuscript.
Obtain written permission from the copyright holder for each piece of third-party content.
Use the provided Permission Form (available in the "Templates" section) for each item.
Fill out the Permission Form completely, including:
Description of the content
Source of the content
Copyright holder's information
Specific terms of use granted
Ensure the copyright holder signs the Permission Form.
Submit all completed and signed Permission Forms along with your manuscript.
Include proper attribution and citation for all third-party content in your manuscript.
Keep copies of all permissions for your records.
Remember: It is the author's responsibility to secure and provide all necessary permissions for third-party content. Failure to do so may result in delays in the publication process or removal of the content from your manuscript.
Submission of Manuscripts| till 31 December 2025
Payment of Registration Fee | till 20 January 2026
Peer review, originality check, and article editting | till 20 February 2026
Submission of the book to the Publisher | 01 March 2026
Publication of the book | 3-4 months from the date of submission
Indexing | 1-3 months from the date of publication
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