Evolutionary Computation Methods for Real-World Problem Solving
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 August 2024 | Viewed by 2705
Special Issue Editors
Interests: evolutionary algorithm; gene expression programming; machine learning; data engineering for big data analytics in smart grid; HPC; smart manufacturing
Interests: applied control and automation; system engineering; autonomous systems and robotics; data analytics; machine learning; AI
Special Issue Information
Dear Colleagues,
This Special Issue wishes to solicit state-of-the-art research or works in progress on Evolutionary Computation Methods for Real-World Problem Solving. Potential topics include, but are not limited to, multi-objectives optimization, self-adaptive system modelling, genetic programming/gene expression programming, deep neural network models, evolutionary data engineering, machine learning with data engineering, evolutionary information/knowledge representation, evolutionary data encryptions, and evolutionary computational architecture for real-world problem solving.
We welcome original research articles covering real evolutionary computation solution applications in real-world problems, as well as methods, applications, case studies, challenges, and developments in complex system engineering areas including, but not limited to, manufacturing, transportation, telecommunications, power systems, and medical engineering.
Dr. Zhengwen Huang
Dr. Alireza Mousavi
Guest Editors
Manuscript Submission Information
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Keywords
- evolutionary computation
- evolutionary data engineering
- evolutionary information/knowledge representation
- evolutionary computational architecture