Evolutionary Intelligence is an interdisciplinary journal dedicated to exploring the synergy between evolutionary computation and artificial intelligence. It bridges the gap between biologically-inspired algorithms and intelligent systems, focusing on innovative methods for problem-solving and optimization. The journal covers a wide range of topics, including genetic algorithms, evolutionary strategies, swarm intelligence, and artificial neural networks.
Key areas of interest include the application of evolutionary intelligence techniques to complex problems in engineering, computer science, and data analysis. The journal also publishes research on novel algorithms, theoretical foundations, and hybrid approaches combining evolutionary methods with other AI techniques. It's indexed in Scopus and Web of Science and is targeted towards researchers and practitioners in AI and related fields.
Contribute to the advancement of evolutionary intelligence by submitting your original research. With its commitment to innovation and interdisciplinary collaboration, Evolutionary Intelligence provides a valuable platform for disseminating cutting-edge research and fostering the development of intelligent systems.