Symmetry/Asymmetry in Evolutionary Algorithms
A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".
Deadline for manuscript submissions: 30 November 2024 | Viewed by 168
Special Issue Editors
Interests: evolutionary algorithms; machine learning; artificial intelligence
Special Issue Information
Dear Colleagues,
We are delighted to announce the launch of a Special Issue on “Symmetry/Asymmetry in Evolutionary Algorithms". In the last decade, computing power has increased as well as the demand for solving highly complex optimization problems where approximate optimization with bio-inspired techniques has been demonstrated as an excellent choice in decision-making processes. This Special Issue aims to explore the current impact and advances of evolutionary algorithms in addressing and solving complex real-world problems. We invite researchers from the fields of theoretical analysis of evolutionary algorithms, artificial intelligence, machine learning, soft computing, bio-inspired computing, evolutionary deep learning, and hybrid evolutionary approaches to contribute their innovative works.
We encourage researchers to submit their original research articles, reviews, or perspectives that explore the role of symmetry and asymmetry in evolutionary algorithms. This Special Issue provides an opportunity to share novel insights, methodologies, and applications, shaping the future of the field.
Dr. Enrique Naredo
Prof. Dr. Conor Ryan
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. Symmetry is an international peer-reviewed open access monthly 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
- genetic algorithms
- genetic programming
- grammatical evolution
- evolutionary computation
- evolutionary programming
- evolution strategies
- differential evolution
- swarm intelligence
- particle swarm optimization
- artificial bee colony
- ant colony optimization
- artificial immune systems
- memetic algorithms
- large-scale optimization problems
- cuckoo search algorithms
- symbiotic organisms search
- whale optimization algorithms
- butterfly optimization algorithms
- medical image processing and analysis
- fundamentals of evolutionary algorithms
- biometric recognition
- optimization and learning methods
- document analysis and recognition
- video analysis and understanding
- character recognition
- visual applications and systems
- face recognition and pose estimation
- vision problems in robotics and autonomous driving
- pattern classification and clustering analysis
- object detection, tracking, and recognition
- machine learning
- action recognition
- neural networks and deep learning
- multimedia analysis and reasoning
- feature extraction and feature selection
- GPU implementation of evolutionary computing
- symmetry
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