IEEE Transactions on Evolutionary Computation is a leading scholarly journal dedicated to advancing the theory and application of evolutionary computation. It encompasses a broad range of topics, including genetic algorithms, evolutionary strategies, genetic programming, and other nature-inspired optimization techniques.
The journal publishes high-quality research articles that contribute to the theoretical foundations, algorithmic developments, and practical applications of evolutionary computation. Key areas of focus include optimization, machine learning, data mining, robotics, and control systems. It covers both fundamental research and real-world case studies across diverse domains such as engineering, computer science, and business.
Indexed in prestigious databases such as Scopus and Web of Science, IEEE Transactions on Evolutionary Computation serves as a premier platform for disseminating cutting-edge research and fostering collaboration among researchers and practitioners worldwide. Researchers are encouraged to submit their innovative work to advance the field and its impact on solving complex problems.