A standard linear programming code may be used to compute optimal trajectories for a linear discrete-time system with respect to a minimax criterion on either state or control trajectories. Arbitrary ...

A quantum framework for Combinatorial Optimization Problem with linear objective functions. It also can solve graph problem if it's optimization objective function can be represented as linear ...

Utilize the weighted average method or the lexicographic method to find a Pareto optimal solution for the given bi-objective linear program. Modified Objective Functions: In a revised version of the ...

In linear programming, the objective function is the function that it is desired to maximize or minimize. The human interaction equivalent is what matters most. Agreement on that, and on the steps ...

Another way to interpret and communicate linear programming solutions is to use graphs that visualize the feasible region, the objective function, and the optimal solution. Graphs are especially ...

Linear programming (LP) helps optimize the allocation of resources to maximize or minimize an objective function, subject to a set of linear equality and inequality constraints.

In this paper, a new statistical averaging technique is proposed for finding an optimal solution to a multi-objective linear fractional programming problem (MOLFPP) and multi-objective linear ...

Recently fuzzy interval flexible linear programs have attracted many interests. These models are an extension of the classical linear programming which deal with crisp parameters. However, in most of ...

Pramanik, S., Dey, P.P. and Giri, B.C. (2011) Multi-Objective Linear Plus Linear Fractional Programming Problem Based on Taylor Series Approximation. International Journal of Computer Applications, ..

Fundamental Theorems. Theorem 1 Let R be the feasible region (convex polygon) for a linear programming problem and let Z = ax + by be the objective function.When Z has an optimal value (maximum or ...