NIOT publishes original research articles, review papers, surveys, and technical notes that contribute significant knowledge and advancements in the field of nature-inspired optimization. The journal follows a rigorous peer-review process to ensure the quality and validity of the published works.
NIOT may adopt an open access publishing model, providing free access to its content for the scientific community and the public. Open access facilitates wider dissemination of research and encourages collaboration and innovation.
The target audience for NIOT includes researchers, academics, optimization experts, data scientists, professionals working in the field of evolutionary computing, and individuals interested in nature-inspired optimization techniques and their applications.