Metaheuristic Optimization Review

Metaheuristic Optimization Review is an international, peer-reviewed journal dedicated to publishing high-quality review-oriented contributions in metaheuristic optimization and related intelligent optimization methods. The journal provides a platform for systematic reviews, survey papers, bibliometric studies, tutorial articles, and critical perspectives that synthesize recent developments, compare optimization strategies, and identify future research directions across theory and applications.

All submissions undergo initial editorial screening followed by a rigorous peer-review process conducted by independent experts. Further details are available in the Peer Review Process.

Authors may submit manuscripts prepared in any standard academic format. Detailed preparation instructions are provided in the Author Guidelines.

MOR is committed to maintaining high standards of publication ethics, research integrity, and transparency. Authors must ensure compliance with the publisher’s policies as outlined in the Publication Ethics and Malpractice Statement.

Submission of a manuscript implies agreement with the publisher’s copyright and licensing terms as described in the Copyright and Licensing Policy.