An amalgamated approach for solving unbalanced assignment problem

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DOI:

https://doi.org/10.26637/MJM0602/0003

Abstract

Task assignment to any computing system is a most interesting and demandable research problem. Various methodologies and techniques are available in the literature to provide the solution of such problems. The assignment problems in distributed computing systems are one of major factor to determine the performance of such systems. The Assignment problem is one of the main problems while assigning jobs to the worker or machines to the worker to get an optimal solution. The problem mentioned in this paper suggests an exhaustive search approach to the unbalanced assignment problem through partial bound optimization. The bound is based on partial bound values. This paper contains the devised technique, computational algorithm of the approach and its implementation. This study is capable to deal all such real life situations where the Jobs (tasks) are more than the number of Machine (processors). The obtain solution is under consideration that all the jobs are allotted on the available machines in an optimum way. Finally numerical example and its algorithm have been given to show the efficiency of the proposed techniques.

Keywords:

Unbalanced Assignment, Partial Bound Value, Hungarian Method, Distributed computing System

Mathematics Subject Classification:

Mathematics
  • Pages: 321-325
  • Date Published: 01-04-2018
  • Vol. 6 No. 02 (2018): Malaya Journal of Matematik (MJM)

H.W. Kuhn, "The Hungarian Method for the Assignment Problem,' Naval Research Logistic Quarterly, $2(1955), 83-97$.

H.W. Kuhn, On the Origin of the Hungarian Method, in:History of Mathematical Programming - A Collection of Personal Reminescences (J.K. Lenstra, A.H.G. Rinnooy Kan, A. Schrijver, Eds) CWI Amsterdam and North-Holland, Amsterdam, 1991, 7781.

G. R. Burkard, M. Dell'Amico, and S. Martello, "Assignment Problems", Siam Society for Industrial and Applied Mathematics, Philadelphia, 2009.

A. Kumar, "A Modified Method for Solving the Unbalanced Assignment Problems", Journal of Applied Mathematics and Computation, 176(2006), 76-82.

S. Singh, G. C. Dubey and R. Rajesh Shrivastava, "A Comparative Analysis of Assignment Problem", IOSR Journal of Engineering (IOSRJEN), 2(2012), $1-15$.

H. A. Taha, "Operation Research: An Introduction", Prentice Hall, 8th Edition, 2007.

A. Ahmed and A. Ahmad, "A New Method for finding and Optimal Solution of Assignment Problem", IJMMS, 12(1)(2014), 10-15.

A. Khandelwal, "A Modified Approach for Assignment Method", IJLRST, 3(2)(2014), ISSN:22785299, 136-138.

B. Nathan, F. J. Vasko, "Solving the Unbalanced Assignment Problem: Simpler Is Better", American Journal of Operations Research, 6(2016), 296-299.

A. Khandelwal and A. Agarwal, "An Amalgamated Approach of Fuzzy Logic and Genetic Algorithm for Better Recruitment Process", TNC Transactions of Network and Communications, 3(3)(2015), 23-31.

K. Kadhirvel, K. Balamurugan, "Method for Solving Unbalanced Assignment Problems Using Triangular Fuzzy Number", Int. Journal of Engineering Research and Application, 3(5)(2013), 359-363.

Paul, Mausumi, Sanya Goutam, "Task-Scheduling in Cloud Computing using Credit Based Assignment Problem", International Journal on Computer Science and Engineering (IJCSE), 3(10)(2011), 34263430 .

V. Yedaiah and V. V. Haragopal, "A New Approach for Solving Single Objective Unbalanced Assignment Problem", American Journal of Operations Research, 6(2016), 81-89.

Anupong Iampang, Veera Boonjing and Pisit Chanvarasuth, "A Cost and Space Efficient method for Unbalanced Assignment Problems", IEEE, 978-14244-8503-1/10, 2010.

Kotwal, G. Jameer, S. Dhope, Tanuja, "Unbalanced Assignment Problem by Modified Approach", International Journal of Advanced Research in Computer Science and Software Engineering, 5(7)(2015), 451456.

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Published

01-04-2018

How to Cite

Anju Khandelwal. “An Amalgamated Approach for Solving Unbalanced Assignment Problem”. Malaya Journal of Matematik, vol. 6, no. 02, Apr. 2018, pp. 321-5, doi:10.26637/MJM0602/0003.