Metaheuristic Optimization Review
Metaheuristic Optimization Review is journal that publishes cutting-edge research in metaheuristic optimization and cognitive science. The journal features state-of-the-art research articles, critical evaluations, and reviews that explore advanced applications, techniques, and algorithms within the metaheuristic optimization domain. It serves as a platform for presenting novel ideas and methodologies that push the boundaries of metaheuristic approaches and their applications. By offering comprehensive reviews and insightful commentary on significant developments, the journal aims to support researchers and practitioners in advancing the field and fostering innovation in both theoretical and applied aspects of metaheuristic optimization.
Journal Publication Timelines
5
Submission to
first decision
46
Submission to
decision after review
59
Submission to
acceptance
4
Acceptance to
online publication
69
Submission to
publication
Prof. Nima Khodadadi
Pacific Earthquake Engineering Research (PEER) Center, Civil and Environmental Engineering, University of California, Berkeley, CA 94720-1710, USA
Generative AI Policy
Authors are required to disclose the use of generative AI tools in the preparation of their manuscripts, where applicable, in accordance with the publisher’s ethical policies.
Article Processing Charges (APC)
No article processing charges (APC) or submission fees are required for this journal.