Multi-objective optimization is a branch of operations research that deals with problems involving more than one conflicting and incomparable objective function. For example, you may want to ...

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 ...

Linear programming (LP) is a powerful technique for optimizing a linear objective function subject to a set of linear constraints. However, not every LP problem has an optimal solution.

For example, the output shows that if the cost of ARABIAN_LIGHT crude were to increase from 175 to 186.6 per unit (remember that you are maximizing profit so the ARABIAN_LIGHT objective coefficient ...

subject to the same constraints (6.2) by simplex method it is optimal solution.. 5. Conclusions. Our aim was to develop an approach for solving multi-objective programming problem (MOLPP) and to ...

This In this paper, we studied one of the multi objective function problem on a single machine which is represented by the sum of total completion times, range of lateness and maximum tardiness on a ...

This paper addresses the solution of optimal control problems with multiple and possibly conflicting objective functions. The solution strategy is based on the integration of Direct Finite Elements in ...