An efficient alternative approach for the solution of an interval integer transportation problem
G. Sudha, K. Ganesan
Abstract
Open-access reader
G. Sudha, K. Ganesan
Abstract
Open-access reader
Abstract The purpose of an Original Possible Solution (IFS) of an integer transportation interval problematic constructions an essential part of finding a minimum total transportation interval cost solution. Better initial feasible interval solution will result in fewer iterations achieving the minimum total cost solution for the interval. Various methods are obtainable in the fiction to achieve a better original possible result to the problem of interval transport. A new, effective method with row penalties is proposed in this paper to find an initial feasible interval solution to an interval transport problem. One numerical illustration demonstrates the new process. Thus, our new approach can be regarded as an alternate technique for achieving an original possible interval solution to a problem of integral interval transport.
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Abstract The purpose of an Original Possible Solution (IFS) of an integer transportation interval problematic constructions an essential part of finding a minimum total transportation interval cost solution. Better initial feasible interval solution will result in fewer iterations achieving the minimum total cost solution for the interval. Various methods are obtainable in the fiction to achieve a better original possible result to the problem of interval transport. A new, effective method with row penalties is proposed in this paper to find an initial feasible interval solution to an interval transport problem. One numerical illustration demonstrates the new process. Thus, our new approach can be regarded as an alternate technique for achieving an original possible interval solution to a problem of integral interval transport.
Key concepts: Interval (graph theory), Integer (computer science), Mathematical optimization, Interval arithmetic, Transportation theory, Mathematics, Process (computing), Computer science