Global Journal of Science Frontier Research, F: Mathematics and Decision Science, Volume 22 Issue 4

© 2022. Mohammad Shyfur Rahman Chowdhury. This research/review article is distributed under the terms of the Attribution- NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0). You must give appropriate credit to authors and reference this article if parts of the article are reproduced in any manner. Applicable licensing terms are at https://creativecommons.org/ licenses/by-nc-nd/4.0/. An Improved Hungarian Algorithm for a Special Case of Unbalanced Assignment Problems By Mohammad Shyfur Rahman Chowdhury International Islamic University Chittagong Abstract- The current Hungarian approach to solving unbalanced assignment issues is based on the notion that some tasks should be delegated to fictitious or covert components, and those studies should be left unperformed. In real-world scenarios, it may be desirable to carry out all of the tasks on fundamental details. To do this, multiple tasks may be distributed to a single machine. The current research's enhanced Hungarian method for addressing unbalanced assignment challenges results in the ideal work assignment policy. An example using numbers shows how well the suggested strategy works and how effective it is. The acquired result is then likened to other current approaches to demonstrate our algorithm's superiority. GJSFR-F Classification: DDC Code: 005.1 LCC Code: QA76.6 AnImprovedHungarianAlgorithmforaSpecialCaseofUnbalancedAssignmentProblems Strictly as per the compliance and regulations of: Global Journal of Science Frontier Research: F Mathematics and Decision Sciences Volume 22 Issue 4 Version 1.0 Year 2022 Type: Double Blind Peer Reviewed International Research Journal Publisher: Global Journals Online ISSN: 2249-4626 & Print ISSN: 0975-5896