And we only need to solve a single linear programming problem to generate an optimal solution for the original optimization problem. Furthermore, our approach could be extended to the case with a ...

The first version was done in the programming language Pascal and compiled with Borland Turbo Pascal 3. Sisvar was developed to achieve some specific goals. The first objective was to ... or ...

Table 1 compares the ... method in which a mixed integer linear programming model for a minimum backbone grid is proposed. A minimum number of branches and maximum summation of power flow betweenness ...

(2001) used a 2DOF vehicle model and introduced an optimization method, based on Multi-Objective Programming ... the LQR cost function is based on finding the positive-definite solution of the ...

The traditional linear programming model ... by bounding the slope of the objective function. The charts within Figure 5 demonstrate the importance of accounting for possible correlation between ...

The applications of stochastic programming are also widespread in the PSE community. In Table 1 ... is defined as a scenario. The objective of stochastic programming is to optimize the expected value ...