This method does not dictate what those constraints should be ... P.K. and Shukla, K.K. (2015) Profit Optimization Using Linear Programming Model: A Case Study of Ethiopian Chemical Company. American ...

A Mathematical Program with Linear ... optimization problems as MPLCCs are first presented. Algorithms for computing a feasible solution, a stationary point and a global minimum for the MPLCC are next ...

The differences between stochastic programming under exogenous uncertainty and endogenous uncertainties are discussed. The concepts and several data-driven methods for generating ... stochastic mixed ...

Penalty methods based on functions of this class were studied by Auslender, Cominetti and Haddou [7] for convex and linear programming problems, and by Gonzaga and Castillo [8] for nonlinear ...

To address this issue, this paper studies security-constrained joint expansion planning problems for this combined energy system. We develop a computationally efficient mixed-integer linear ...

A Mathematical Program with Linear ... optimization problems as MPLCCs are first presented. Algorithms for computing a feasible solution, a stationary point and a global minimum for the MPLCC are next ...