Advances in Algorithm Optimization and Computational Intelligence, 2nd Edition
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 June 2026 | Viewed by 681
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Special Issue Information
Dear Colleagues,
We are pleased to announce the second edition of our successful Special Issue, entitled “Advances in Algorithm Optimization and Computational Intelligence, 2nd Edition”.
This Special Issue of Electronics is a pivotal scholarly contribution to the dynamic domain of computer science. Our aim is to provide a conduit for academics and industry professionals in terms of disseminating their research outcomes and methodologies in the realms of algorithmic optimization and computational intelligence.
This Special Issue’s objective is to spotlight avant-garde research and methodologies that augment the efficacy, robustness, and versatility of algorithms. This aligns seamlessly with the journal’s overarching mission of fostering state-of-the-art research in computer science and its intersecting disciplines. The focus of this Special Issue is the exploration and development of novel algorithmic strategies, the application of machine learning techniques for optimization, and the advancement of artificial intelligence paradigms for complex problem solving.
Potential topics of interest for this Special Issue include, but are not limited to, machine learning algorithms, evolutionary computation, swarm intelligence, artificial neural networks, fuzzy systems, and decision-support systems. These themes reflect the current trends and future directions in the realm of computational intelligence and algorithm optimization. This Special Issue encourages submissions that offer novel insights, propose new methodologies, or apply existing techniques in innovative ways to solve complex problems. This is an excellent opportunity for scholars to contribute to and shape discourse in this crucial research area.
For this Special Issue, original research articles and reviews are welcome to be submitted. Research areas may include, but are not limited to, the following:
Topics of interest:
- Machine learning algorithms;
- Evolutionary computation;
- Swarm intelligence;
- Artificial neural networks;
- Fuzzy systems;
- Decision-support systems;
- Optimization algorithms;
- Deep learning;
- Natural language processing;
- Computer vision.
Dr. Amin Amini
Dr. Bacha Rehman
Prof. Dr. Chih-Lung Lin
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 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. Electronics 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 2400 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
- artificial intelligence
- image processing
- computer vision
- algorithm optimization
- computational intelligence
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