About the journal
Notification for international conference chairs
Journal of Optimization in Industrial Engineering is going to publish special issues in following areas. Interested conference chairs can send their applications to the following emails in order to get the required information on how to submit the selected papers for complementary review and publication conditions. For more information, Please Email to Dr. Seifbarghy (Director-in-Charge)
Publication Fee
According to the decision made dated December 25, 2019, Corresponding Authors residing in Iran needed to pay a fee for review (5,000,000 Iranian Rials ) and publication (10,000,000 Iranian Rials) of their articles from the beginning of 2020 onwards.
Journal of Optimization in Industrial Engineering (JOIE) published by Qazvin Islamic Azad University (located in Iran) is scholarly Open access, Peer-reviewed, Semi-annually, and fully refereed journal with a primary objective to provide the academic community and industry with the submission of new ideas, the state of the art research results and fundamental advances in all aspects of industrial engineering. The policy of peer-review is Double-blinded, review process. The journal welcomes all research papers from all over the world in the field of optimization. The editorial board members are from diverse countries of the world. The journal tries to expedite the review process of received papers. JOIE is promised to publish papers that are of enough conformity with the stated aims & scope. JOIE is continuously trying to improve its publication processes with respect to the international standards of journals.
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Recent Articles
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2 - An empirical comparison of quantile-based risk measures for portfolio construction under practical constraints
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Ali Kahramfar ، Abdollah Jassbi * ، javad jassbi ، Ebrahim TeimouryIssue 2 , Vol. 18 , Autumn 2025 -
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5 - A simulation-optimization model for dynamic cellular manufacturing system in uncertainty condition
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6 - Development of a data-driven model based on machine learning for screening urban infrastructure projects considering sustainability and agility dimensions
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8 - A machine learning-based framework to configure a sustainable reverse logistics in the steel industry
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12 - A hybrid metaheuristic approach to optimize intrusion detection and malicious node identification in mobile Ad Hoc networks
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13 - Optimal hybrid decision-making model based on FBWM and XGBoost for resilient and sustainable evaluation of energy industry projects
Armin Tahmasebinezhad ، Mehrdad Babolhavaeji ، Saeid Hejri ، Kayvan Korani ، Mahdieh Tavakoli * ، Ali BakhshiIssue 2 , Vol. 18 , Autumn 2025 -
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