Swarm Intelligence and Optimization: Algorithms and Applications

Dear Colleagues,

Recent advances in computational intelligence (CI) have dramatically transformed the way we tackle challenges involving uncertainty, complex dynamics, and large-scale data. This Special Issue seeks to showcase the latest progress in CI techniques, including large-scale optimization, multitask optimization, multimodal optimization, fuzzy logic, and hybrid models, that are being leveraged to address intricate real-world challenges.

We encourage the submission of original research articles that connect theoretical breakthroughs to real-world implementations. Potential topics of interest include, but are not limited to, the following:

• Evolutionary and swarm intelligence approaches for tackling sophisticated optimization scenarios (e.g., multi-objective, dynamic, large-scale, expensive, multitask, and constrained optimization);
• Fuzzy logic frameworks and rule-based approaches for making decisions in uncertain environments;
• Hybrid CI methods combining multiple techniques such as evolutionary algorithms, machine learning, and symbolic reasoning to address complex problems effectively (e.g., LLM, automated design, generative AI, and cognitive systems);
• Research on application of CI in various scenarios (e.g., transportation, healthcare, autonomous systems, scheduling, manufacturing, product design, energy management, and climate science).

This Special Issue is dedicated to promoting cross-disciplinary collaboration, illustrating how CI tools can provide novel solutions for complex issues. Submissions that incorporate domain expertise (e.g., physics-informed neural networks or biologically inspired optimization) are highly encouraged. The central questions for this issue include the following: What advancements are needed in CI to better confront real-world complexities? Which theoretical developments can close the gap between CI research and applications? Finally, how can interdisciplinary strategies improve the effectiveness, resilience, and scalability of CI solutions?

Dr. Zijia Wang
Guest Editor

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. Mathematics is an international peer-reviewed open access semimonthly 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 2600 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.

• computational intelligence
• evolutionary computation
• machine learning
• swarm intelligence
• real-world applications
• large-scale optimization
• multi-task optimization
• multimodal optimization
• swarm intelligence