AbstractA branch-and-cut algorithm for solving linear problems with continuous separable piecewise linear cost functions was developed in 2005 by Keha et al. This algorithm is based on valid inequalities for an SOS2 based formulation of the problem. In this paper we study the extension of the algorithm to the case where the cost function is only lower semicontinuous. We extend the SOS2 based formulation to the lower semicontinuous case and show how the inequalities introduced by Keha et al. can also be used for this new formulation. We also introduce a simple generalization of one of the inequalities introduced by Keha et al. Furthermore, we study the discontinuities caused by fixed charge jumps and introduce two new valid inequalities by e...
The linear ordering problem with cumulative costs is an -hard combinatorial optimization problem ari...
Linear programming (LP) and semidefinite programming (SDP) are among the most important tools in Ope...
In this article we develop a global optimization algorithm for quasiconvex programming where the obj...
AbstractA branch-and-cut algorithm for solving linear problems with continuous separable piecewise l...
AbstractWe develop an algorithm to globally solve the problem: minimize {ƒ0(χ): ƒi(χ) ≤ bi, i = 1,…,...
This presentation was given at the Production and Operations Management Annual Conference (POMS)
International audienceVarious optimization problems result from the introduction of nonlinear terms ...
A theoretical framework and a practical algorithm are presented to solve discontinuous piecewise lin...
In this paper we present an exact solution method for the transportation problem with piecewise line...
We study the modeling of non-convex piecewise linear functions as Mixed Integer Programming (MIP) pr...
A branch and bound type algorithm is presented in this paper to the problem of finding a transportat...
We study a generic minimization problem with separable non-convex piecewise linear costs, showing th...
Branch and bound algorithms are methods for global optimization in nonconvex prob-lems [LW66, Moo91]...
Abstract—The use of piecewise quadratic cost functions is ex-tended from stability analysis of piece...
This paper takes a fresh look at the application of quadratic penalty functions to linear programmin...
The linear ordering problem with cumulative costs is an -hard combinatorial optimization problem ari...
Linear programming (LP) and semidefinite programming (SDP) are among the most important tools in Ope...
In this article we develop a global optimization algorithm for quasiconvex programming where the obj...
AbstractA branch-and-cut algorithm for solving linear problems with continuous separable piecewise l...
AbstractWe develop an algorithm to globally solve the problem: minimize {ƒ0(χ): ƒi(χ) ≤ bi, i = 1,…,...
This presentation was given at the Production and Operations Management Annual Conference (POMS)
International audienceVarious optimization problems result from the introduction of nonlinear terms ...
A theoretical framework and a practical algorithm are presented to solve discontinuous piecewise lin...
In this paper we present an exact solution method for the transportation problem with piecewise line...
We study the modeling of non-convex piecewise linear functions as Mixed Integer Programming (MIP) pr...
A branch and bound type algorithm is presented in this paper to the problem of finding a transportat...
We study a generic minimization problem with separable non-convex piecewise linear costs, showing th...
Branch and bound algorithms are methods for global optimization in nonconvex prob-lems [LW66, Moo91]...
Abstract—The use of piecewise quadratic cost functions is ex-tended from stability analysis of piece...
This paper takes a fresh look at the application of quadratic penalty functions to linear programmin...
The linear ordering problem with cumulative costs is an -hard combinatorial optimization problem ari...
Linear programming (LP) and semidefinite programming (SDP) are among the most important tools in Ope...
In this article we develop a global optimization algorithm for quasiconvex programming where the obj...