Novel Applications for Evolutionary Computation in Computer Science
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: closed (15 January 2024) | Viewed by 823
Special Issue Editor
Interests: evolutionary computation; image processing; robotics; neural networks; fuzzy logic; data mining
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Evolutionary Computation (EC) has emerged as a powerful paradigm for solving complex problems in various computer science domains. It encompasses a range of bio-inspired optimization and search algorithms that mimic the process of natural evolution to find optimal solutions. The application of EC techniques has shown promising results in addressing real-world problems. The goal of this Special Issue goal is to explore the novel applications of Evolutionary Computation in various subfields of computer science. We invite researchers and practitioners to contribute their original research, review articles, and case studies on the latest advancements, methodologies, and practical applications of EC in the following areas (but not limited to):
- Image Processing and Machine Vision
- Data Mining
- Bioinformatics
- Robotics and Autonomous Systems
- Network and Telecommunication Systems
- Software Engineering, Reliability, and Testing
- Cybersecurity and Intrusion Detection
- Intelligent Systems and Decision Support
- Internet of Things (IoT) and Edge Computing
- Natural Language Processing and Text Mining
- Manufacture process modeling
- Medical applications
Contributions should emphasize the innovative utilization of evolutionary computation techniques, including but not limited to genetic algorithms, genetic programming, evolutionary strategies, ant colony optimization, particle swarm optimization, and artificial immune systems. Papers should highlight the unique challenges and insights from applying EC methods in specific computer science applications.
Authors are encouraged to present their research outcomes, demonstrate experimental validations, and compare existing approaches to showcase the novelty and effectiveness of the proposed EC-based solutions. Additionally, interdisciplinary studies that combine EC with other computational intelligence techniques or hybridize EC with machine learning or deep learning approaches are welcome.
Prof. Dr. Alaa Sheta
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 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. 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
- image processing
- machine vision
- data mining
- bioinformatics
- robotics and autonomous systems
