
About the Journal
International Journal of Optimization Techniques in Engineering and Computational Science (IJOTECS) is a peer-reviewed, open-access journal dedicated to advancing research and innovation in the fields of optimization, engineering, and computational science. Our mission is to provide a platform for researchers, engineers, and academicians to share their findings and foster collaboration across disciplines.
Submit your manuscript using the submission link Submit Manuscript
ARTICLE PROCESSING COST = 655USD FOR AUTHOR OTHER COUNTRIES OR 55000 NAIRA FOR NIGERIA.
AUTHORS CAN APPLY FOR PARTIAL WAIVER TO THE JOURNAL EDITORIAL AT editorialoffice@directresearchpublisher.org
Chief Editor
Prof. Sunny Orike
Department of Computer Engineering,
Faculty of Engineering
Rivers State University
Port-Harcourt
Nigeria.
Associate Editor
Dr. Philip-Kpae Friday Oodee
Department of Electrical/ Electronic Engineering,
Faculty of Engineering, Rivers State University, P. M. B. 5080,
Nkpolu-Oroworukwo, Port-Harcourt Rivers State,
Nigeria.
Journal Name: International Journal of Optimization Techniques in Engineering and Computational Science (IJOTEC)
Journal initials: IJOTEC
Journal Abbreviation: INTER. J OPTIMI. TECH. & COM. SCI.
ISSN: XXXX-XXXX
https://isjn.org/IJOTECS
DOI: 10.26765/IJOTEC
Model: Peer Reviewed
Frequency: 3 times a year
First issue: January-April
Second issue: May-August
Third issue: September-December
Access Type: Open Access
Licence Type: CC-BY
OAI: OAI-PMH
Copyright Holder: Author(s) retains copyright.
Manifests: LOCKSS & CLOCKSS
Start Year: 2025
ARTICLE PROCESSING COST = 655 USD FOR AUTHORS OF OTHER COUNTRIES OR 55,000 NAIRA FOR NIGERIA.
AUTHORS CAN APPLY FOR PARTIAL WAIVER TO THE JOURNAL EDITORIAL AT editorialoffice@directresearchpublisher.org
About the Journal
IJOTEC focuses on the development, analysis, and application of optimization techniques in diverse engineering and computational domains. The journal covers both theoretical advancements and practical implementations, aiming to bridge the gap between academia and industry. Topics of interest include, but are not limited to:
- Algorithm design and analysis
- Machine learning optimization
- Computational fluid dynamics
- Structural optimization in engineering
- Energy-efficient systems
- Big data analytics and modeling