In this study, we propose an exact method for optimizing a linear function over the efficient set of a multi-objective transportation problem (MOTP). This type of problem arises when a decision maker ...

O.A.Pavlov,M.Y.Kyselov,B.P.Palekha, AGGREGATED VOLUMETRIC-TEMPORARY PLANNING MODELS FOR ONE CLASS OF DISCREET PRODUCTION SYSTEMS. Optimization of schedules for discrete production systems with time ...

NVIDIA's cuOpt leverages GPU technology to drastically accelerate linear programming, achieving performance up to 5,000 times faster than traditional CPU-based solutions. The landscape of linear ...

Abstract: This paper deals with the multi-objective chance constrained programming, where the right hand side of the constraints are normally distributed and the objective functions with fuzzy numbers ...

I try to apply the model for solving my MILP problem. There are four power generation units: GT, U2, U3, U4, each has a minimum and maximum power Pmin and Pmax. Each unit has a cost-generating linear ...

1 Department of Pharmacology and Experimental Therapeutics, Division of Biostatistics, Thomas Jefferson University, Philadelphia, PA, USA 2 Department of Biostatistics, Office of Energetics and ...

Abstract: The conventional Linear Programming (LP) model requires the parameters to be known as constants. In the real world, however, the parameters are seldom known exactly and have to be estimated.

ABSTRACT: In real world decision making problems, the decision maker has to often optimize more than one objective, which might be conflicting in nature. Also, it is not always possible to find the ...