Suggestions(1)
Exact(3)
Due to the large data of extracted objective coefficients, we present one example from each model.
Variations in the objective coefficients of the multi-stage LP model are presented in Additional file 1: Annex 6.
The upper and lower objective coefficients for feeds used in the CWSR model are shown in Additional file 1: Annex 7. The figure shows clearly that the upper price for wheat is unbounded in most of the studied periods compared to a narrow price range for corn.
Similar(57)
(Technically, these bounds will correspond to the range of (y_{0}^{h}) (as the objective coefficient of (lambda )) for which the optimal basic feasible solution of the linear program (3) remains constant).
Hereby, the variables x I determine, similar to a characteristic vector, whether STRX I is contained in T and the zI,J calculate the induced interference for the corresponding objective coefficient.
The constraints model a variable of the original LP, i.e., a set of STRXs and the objective function indicates the reduced costs, namely this variable's original objective coefficient minus the product of the dual values and the corresponding matrix column.
In Table 1 F, A, c, b and x are objective function target, coefficients of constraints, coefficients of the objectives, right hand side of constraints and decision variables, respectively.
Rahmati et al (2013) incorporate these parameters and propose a single response metric for Taguchi method namely multi-objective coefficient of variation (MOCV).
The initial design is then varied using the dynamic model to determine the Pareto frontier regarding two objectives: coefficient of performance (COP) and specific cooling power (SCP).
The Diversity and the MID metrics, as representatives of the multi-objective goals, are used to define multi-objective coefficient of variation (MOCV) in Eq. (13) as follows: {text{MOCV}} = frac{text{MID}}{text{Diversity}} (13).
More precisely, given interval domains for the objective function coefficients and constraint coefficients of a linear program, we ask for which scenario a prescribed optimal value is attained.
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