Swarm Intelligence and Deep Learning: Algorithms, Analysis and Applications

About the book

This edited book, entitled "Swarm Intelligence and Deep Learning: Algorithms, Analysis, and Applications," offers a comprehensive and forward-looking exploration of the synergy between two paradigms in Artificial Intelligence.

While conventional literature often treats metaheuristics as a secondary tool for hyperparameter tuning, this book establishes a bidirectional framework where Swarm Intelligence (SI) and Deep Learning (DL) exist in a state of mutualistic enhancement.

It details cutting-edge integrations, including the use of SI for optimizing Transformers, Graph Neural Networks (GNNs), and Large Language Models (LLMs). Conversely, it explores how DL-driven surrogate models can accelerate swarm evaluations and improve collective decision-making.

Abstract Submission Guidelines

Authors are requested to follow the guidelines below while preparing their abstracts:

• Abstracts must be submitted in Microsoft Word format (.doc/.docx) only.
• Each submisssion must include a title, authors, affiliations, abstract (100–200 words), and 4–5 keywords.

Chapter Submission Guidelines

• Academic English: Manuscripts should be written in clear, concise, and grammatically correct academic English.
• Self-Contained Chapters: Each chapter must be entirely self-contained.
• Templates: Authors must download and use the official LaTeX "author" template provided for submission.
• Length: The recommended chapter length is 16–24 pages when using the standard template layout (including references, figures, and tables).
• Visual Assets: Figures and tables must be clearly numbered, captioned, and cited in the text.
• Third-Party Material:Authors must obtain and provide permissions for any third-party material, along with a permissions log and declaration form.
• There are no processing charges for publication

Timeline

• Abstract submission deadline: 15 September 2026
• Abstract Acceptance Notification: 15 October 2026
• Full Submission deadline: 15 December 2026
• Reviews, Revision and Rebuttal: 15 January 2027
• Final Acceptance notification: 10 Feburary 2027
• Camera-ready submission: 28 Feburary 2027

Topics Inclued but are not limited to

• Swarm Intelligence
• Deep Learning
• Metaheuristics
• Convolutional Neural Networks (CNN)
• Nature-Inspired Computing
• Neural Network Optimization
• Hyperparameter Optimization
• Collective Behaviour
• Convergence Analysis
• Neural Architecture Search
• Neuroevolution
• Multi-agent Reinforcement Learning
• Graph neural networks
• Case studies and applications

Publication

• Book Venue: Accepted chapters will be published in the book "Swarm Intelligence and Deep Learning: Algorithms, Analysis and Applications".

• Series & Publisher: The volume will be published within the book series "Studies in Computational Intelligence" by Springer (pending approval).

Editorial Board

• Aziz OUAARAB, Cadi Ayyad University, UCA, Faculty of Sciences and Technology (FST), Computer Engineering and Systems Laboratory
• Xin-She YANG, School of Computer Science and Engineering, Middlesex University London, United Kingdom
• Aziz DAROUICHI, Cadi Ayyad University, UCA, Faculty of Sciences and Technology (FST), Computer Engineering and Systems Laboratory

Contact

All questions about submissions should be emailed to a.ouaarab@uca.ac.ma