Deadline Date: 31 March 2026
1. Scope and Objectives
Artificial Intelligence (AI) has emerged as a cornerstone of modern computational science, impacting a vast range of domains including healthcare, finance, robotics, cybersecurity, logistics, and more. At the heart of AI systems lies the crucial role of optimization algorithms — enabling model training, decision-making, resource allocation, and system performance improvements.
This Special Issue aims to bring together cutting-edge research and innovative applications that leverage optimization algorithms to enhance AI capabilities. By highlighting both theoretical advancements and practical implementations, the issue will provide a comprehensive insight into the current trends, challenges, and future directions in the intersection of AI and optimization.
2. Topics of Interest
We invite original research articles, review papers, and case studies on topics including, but not limited to:
Metaheuristic optimization in AI (e.g., Genetic Algorithms, Particle Swarm Optimization, Ant Colony Optimization)
Convex and non-convex optimization methods in deep learning
Multi-objective and dynamic optimization in AI systems
Reinforcement learning and reward optimization
Hyperparameter tuning algorithms for machine learning models
Swarm intelligence and bio-inspired optimization in AI
Evolutionary computation for model selection and feature engineering
Optimization in federated and distributed AI systems
Energy-efficient and real-time AI optimization techniques
Benchmarking and comparative studies of AI optimization algorithms
1. Scope and Objectives
Artificial Intelligence (AI) has emerged as a cornerstone of modern computational science, impacting a vast range of domains including healthcare, finance, robotics, cybersecurity, logistics, and more. At the heart of AI systems lies the crucial role of optimization algorithms — enabling model training, decision-making, resource allocation, and ... show more
Editorial board
