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·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667
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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 since 1980. Subjects include but are not limited to:
• Information Sciences
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• Control Theory
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Issues up to 2022 co-published with and available at:
This study focuses on the multi-option multi-objective solid transportation problem (MOMOSTP). Multi-option parameters describe the problem parameters, such as the objective function’s cost coefficients. The primary aim of this research is to convert the multi-option structure of cost coefficients in the objective function of the transportation problem (TP) into a singular option format, with the goal of minimizing total costs. In this study, we provide a novel heuristic technique for the given issue. Furthermore, we demonstrate the effectiveness of our suggested strategy by the use of a ranking approach.
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