After the optimal solution is obtained, typically by the simplex method, one considers the effect of varying each objective function coefficient, one at a time. This yields the range of optimality ...

A parallelised numerical method based on Fireworks Algorithm (FWA) has been developed to solve the Inverse Heat Transfer Problem. The objective function could be minimised by the FWA approach, and it ...

ABSTRACT: The traditional linear programming model is deterministic. The way that uncertainty is handled is to compute the range of optimality. After the optimal solution is obtained, typically by the ...

Through the analysis of the impact of different weights on the objective function and optimal plate spacing, it should increase weight coefficient of complete action time and action time, decrease ...

The objective coefficient ranging analysis, discussed in the last example, is useful for accessing the effects of changing costs and returns on the optimal solution if each objective function ...

For each structural variable, the upper and lower ranges of the price (objective function coefficient) and the objective value are shown. The blocking variables, those variables that would enter the ...