Emerging Applications of Evolutionary Computing and Swarm Intelligence
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematics and Computer Science".
Deadline for manuscript submissions: 30 June 2025 | Viewed by 724
Special Issue Editors
Interests: multi-objective optimization; combinatorial optimization; computational intelligence; bio-inspired computing; neuroevolution; search-based software engineering; vehicle routing problems
Interests: multi-objective optimization; combinatorial optimization; computational intelligence; bio-inspired computing applied to computer networks; wireless networks; social networks problems
Interests: multi-objective optimization; decomposition-based optimization; bio-inspired computing; neuroevolution; neural architecture search; surrogate models for expensive optimization
Special Issues, Collections and Topics in MDPI journals
Interests: single- and multi-objective optimization; multi-objective performance metrics; evolutionary computing; machine learning; delivery logistics
Special Issue Information
Dear Colleagues,
We are pleased to announce this Special Issue dedicated to exploring the latest advancements and innovative applications of evolutionary computing and swarm intelligence. We invite researchers and practitioners from diverse fields to contribute their insights and findings to this Special Issue.
Evolutionary computing, inspired by natural selection and biological evolution principles, continues to advance, offering new methodologies for developing adaptive algorithms and intelligent systems that learn and evolve. We are particularly interested in contributions that showcase how these techniques are being applied to solve complex problems across various industries, including engineering, biomedicine, and artificial intelligence.
Swarm intelligence, which mimics the collective behavior of natural systems such as ant colonies and fish schools, is also at the forefront of innovation. We welcome submissions that explore its applications in areas such as autonomous robotics, resource management, and network optimization, illustrating how swarm-based approaches can enhance system efficiency and adaptability.
This Special Issue aims to gather cutting-edge research and practical applications that highlight the transformative potential of these computational techniques. We encourage submissions that address practical advancements and present real-world applications and case studies in areas including, but not limited to, transportation, scheduling, manufacturing, software engineering, telecommunications, the internet of things, social networks, wireless sensor networks, complex systems, machine learning, and medicine, among others.
Prof. Dr. Abel Garcia-Najera
Dr. Karen Miranda
Dr. Saúl Zapotecas-Martínez
Prof. Dr. Adriana Menchaca-Méndez
Guest Editors
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 100 words) can be sent to the Editorial Office for announcement on this website.
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.
Keywords
- genetic algorithms
- evolution strategy
- estimation of distribution algorithms
- differential evolution
- swarm intelligence
- ant colony optimization
- artificial bee colony algorithm
- operations research
- networks
- artificial intelligence
- big data
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