For that, we have used a symmetric hexagonal ranking system and obtained an optimal solution through an innovative system as compared to the previous system/approach. The merit of this proposed method is to obtain the solution within minimum possible time as compared to existing ranking techniques....
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In this paper, at first a new mathematical framework will be constructed and then this framework will propose the new optimal dynamic distributed unicast routing algorithm for solving our LPP problem. This algorithm will compute an optimal solution for our LPP based on the simplex method and post...
An optimal solution of energy scheduling problem based on chance-constraint programming model using Interval-valued neutrosophic constraintsInterval-valued neutrosophic numbers (IVNNs)Interval-valued trapezoidal neutrosophic numbers (IVTrNNs)Linear programming problem (LPP)...
Also, the solution can be obtained by solving the LPP (Linear programming problem) that takes in most viable solutions generated by the revised heuristic, requirements of shapes and availability of sheets. In the present study a comparison has been made that makes use of LPP to look for ...
The solution of the NLPP is used to obtain the optimal control and states, which are the exact solution of the original problem (NOCP). What is more, a NLPP is transferred to a Linear Programming Problem (LPP) which empower us to use powerful LP softwares. The degree of desirability ...
This paper emphasizes a dynamic optimal solution framework for TPs in a neutrosophic setting. This paper investigates a Neutrosophic Transportation Problem (NTP) in which supply, demand, and transportation cost are considered as Single-Valued Neutrosophic Trapezoidal Numbers (SVNTrNs). The weighted ...
linear programming problem (LPP)mixed-integer programming problem (MIPP)initial basic feasible solution (IBFS)optimal solution (OS)In this paper some general transportation models have been discussed and particularly a multi-choice cost stochastic transportation problem (STP) has been reviewed in the ...
Then we have decided to keep all the three objectives of the linear programming models at the same priority level to obtain the compromised solution in a fuzzy environment that incorporates the imprecision in fuzzy goals and fuzzy constraints. These non-structural models can facilitate the ...
This solution is Energies 2017, 10, 1598; doi:10.3390/en10101598 www.mdpi.com/journal/energies Energies 2017, 10, 1598 2 of 18 effective but commercially expensive, which motivates the consideration of different ESSs technologies and control methods for supporting the power grid. In ports, ESS ...