Swarm and Evolutionary Computation is a leading journal dedicated to the exploration and advancement of nature-inspired computational techniques. This publication serves as a crucial platform for researchers and practitioners in the field of optimization and machine learning.
Core topics include swarm intelligence, evolutionary algorithms, genetic programming, and artificial immune systems. Indexed in key databases such as Scopus and Web of Science, the journal provides wide visibility for significant contributions. Its target audience includes computer scientists, engineers, and researchers seeking innovative methods for solving complex problems in diverse domains. The journal emphasizes interdisciplinary approaches, bridging the gap between biological inspiration and computational solutions.
Submitting to this impactful journal allows researchers to influence the development and application of nature-inspired algorithms. Review guidelines and contribute your research to help shape the future of computational intelligence and improve problem-solving capabilities across various sectors. By focusing on novel methodologies, the journal strives to foster advancements in both theory and practice, promoting the use of nature's strategies for efficient computation.