Published by Taru Publications from 2023.
The Journal of Information and Optimization Sciences (JIOS) is a world leading journal publishing high quality, rigorously peer-reviewed original research in all mathematically-oriented theoretical and applied topics in information sciences, optimization sciences and related areas.
Subjects include but are not limited to:
• Information Sciences
• Information Theory
• Information Technology
• Optimization Sciences
• Operational Research
• Mathematical Programming
• Database Management
• Control Theory
• Applications to Engineering Sciences
• Applications to Technology
The journal will consider original research articles, survey articles, and book reviews. Responses to articles and correspondence will also be considered at the Editor-in-Chief’s discretion.
Special issue proposals in cutting-edge and timely areas of research in information and optimization sciences are encouraged – please contact the Editor-in-Chief in the first instance.
Peer Review Policy
All submitted manuscripts are subject to initial appraisal by the Editor-in-Chief, and, if found suitable for further consideration, to rigorous and rapid peer review by independent, anonymous expert referees. All peer review is double blind and will undergo iThenticate authenticity cross-checking.
Publishing Ethics
The Journal adheres to the highest standards of publishing ethics, with rigorous processes in place to ensure this is achieved. Taylor & Francis is a member of Committee of Publications Ethics (COPE) and utilises CrossCheck for all Journals. More information on our ethical standards and policies can be found here: http://authorservices.taylorandfrancis.com/ethics-for-authors/
The Journal has an appeals and complaints policy which can be viewed here: https://authorservices.taylorandfrancis.com/peer-review-appeals-and-complaints-from-authors/.
Disclaimer
Taylor & Francis and TARU Publications make every effort to ensure the accuracy of all the information (the “Content”) contained in our publications. However, Taylor & Francis and TARU Publications, our agents, and our licensors make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content. Any opinions and views expressed in this publication are the opinions and views of the authors, and are not the views of or endorsed by Taylor & Francis and TARU Publications. The accuracy of the Content should not be relied upon and should be independently verified with primary sources of information. Taylor & Francis and TARU Publications shall not be liable for any losses, actions, claims, proceedings, demands, costs, expenses, damages, and other liabilities whatsoever or howsoever caused arising directly or indirectly in connection with, in relation to or arising out of the use of the Content. Terms & Conditions of access and use can be found at http://www.tandfonline.com/page/terms-and-conditions
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