Deadline Date: 31 December 2025
This Special Issue explores the latest advancements in evolutionary algorithms (EAs) and their role in the AI era, focusing on theoretical breakthroughs, algorithmic enhancements, and real-world engineering applications. As AI continues to transform industries, EAs remain vital for solving complex optimization problems, yet challenges such as scalability, adaptability, and computational efficiency persist. The issue seeks high-quality research on hybrid EA methods in AI era (e.g., neuroevolution, surrogate-assisted optimization), parallel and distributed EAs, and emerging applications in robotics, energy systems, and other industry Engineering. By highlighting innovative solutions and practical case studies, this collection aims to accelerate the adoption of EAs in next-generation intelligent systems, fostering collaboration between academia and industry. Submissions on explainability, sustainability, and AI-driven optimization are also encouraged.
Deadline Date: 31 December 2025
This Special Issue explores the latest advancements in evolutionary algorithms (EAs) and their role in the AI era, focusing on theoretical breakthroughs, algorithmic enhancements, and real-world engineering applications. As AI continues to transform industries, EAs remain vital for solving complex optimization problems, yet challenges such as scalability, adaptability, and computational ... show more
Editorial board
