Evolutionary Computation, Optimization, and Their Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 89
Special Issue Editors
Interests: evolutionary computation; bilevel optimization; wireless network planning
Interests: evolutionary computation; constraint handling; distributed parameter system model
Interests: evolutionary algorithms; multi-objective optimization; evolutionary learning; evolutionary computing; computational intelligence optimization; engineering optimization technologies
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the exponential growth of system complexity in Industry 4.0, artificial intelligence, and data-driven decision making, traditional optimization methods face significant challenges in addressing high-dimensional, multi-objective, and dynamically uncertain problems. Inspired by natural evolution, evolutionary computation (EC) has demonstrated unique advantages in handling non-convex, discontinuous, and multi-modal optimization landscapes. However, critical challenges remain, including balancing exploration–exploitation tradeoffs, accelerating convergence in large-scale scenarios, and bridging theoretical advances with real-world applications. Furthermore, integrating EC with emerging technologies (e.g., quantum computing, edge AI) opens new frontiers for fundamental research and industrial innovations.
This Special Issue aims to present high-quality research on novel theories, algorithms, and applications of evolutionary computation. Topics of interest include, but are not limited to, the following:
- Multiobjective optimization, constraint handling, dynamic environments, and hybrid metaheuristics.
- Neural architecture search, hyperparameter optimization, and automated machine learning pipelines.
- GPU/quantum-accelerated EC, federated optimization, and cloud–edge deployment.
- EC in sustainable energy systems, healthcare decision support, and LLM fine-tuning.
- Convergence analysis, complexity theory, and interpretability of EC frameworks.
We welcome original research articles, comprehensive reviews, and case studies that highlight methodological innovations or demonstrate transformative impacts in practical scenarios. This Special Issue seeks to foster cross-disciplinary collaborations and accelerate the deployment of EC technologies in next-generation intelligent systems.
Dr. Peiqiu Huang
Dr. Bingchuan Wang
Dr. Zhiming Dong
Dr. Shaolong Shi
Guest Editors
Manuscript Submission Information
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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
- evolutionary computation
- optimization algorithms
- multiobjective optimization
- large-scale systems
- AI-driven applications
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