Journal of Artificial Intelligence and Metaheuristics

Journal of Artificial Intelligence and Metaheuristics (JAIM) is an international, peer-reviewed scholarly journal dedicated to advancing research in artificial intelligence and metaheuristic optimization. The journal provides a rigorous platform for the publication of original research articles and authoritative review papers that present novel theoretical developments, methodological innovations, and impactful real-world applications in these fields.

JAIM operates a structured and transparent editorial and peer-review process designed to ensure the highest standards of scientific quality, originality, and integrity. All submitted manuscripts undergo initial editorial screening followed by independent peer review conducted by qualified experts in the relevant domain.

Authors are invited to submit manuscripts prepared in any standard academic format at the initial submission stage. Compliance with a specific journal template is not required before peer review. Upon acceptance, all manuscripts are professionally edited, formatted, and typeset by the journal’s production team in accordance with official publication standards to ensure consistency and quality of presentation.

JAIM is committed to upholding high standards of publication ethics, research integrity, and transparency. Authors are required to ensure that their submissions comply with established ethical standards, including originality, proper citation, transparent authorship, and the disclosure of any conflicts of interest.

JAIM follows the ASPG Publication Ethics and Malpractice Statement. Submission of a manuscript implies that authors comply with the journal’s editorial policies, ethical requirements, and copyright regulations (see the Publication Ethics and Malpractice Statement for full details). Authors agree to the publisher’s copyright and licensing terms upon acceptance (see the Copyright and Licensing Policy). Details of the editorial and review workflow are available in the Peer Review Process page.