Abstract
This is a brief report on our recent work in network piecewise linear programming (NPLP), and it consists of two parts. In the first park, we describe a generator for NPLP problems which is derived from the classical network linear program generator NETGEN. The generator creates networks of the same topological structures as NETGEN, but each arc is associated with a convex piecewise linear cost. The purpose of this program is to provide a set of standard test problems which can be used to compare the performance of various algorithms for NPLP. In the second part, we introduce a network simplex method that directly solves a network piecewise linear program without reformulating it as a network linear program of higher dimension. Forty benchmark NPLP problems are solved by this method and a reformulation method. The computational results are in favor of the direct method and show that solving an NPLP problem is not much harder than solving a network linear program of the same dimension.
Similar content being viewed by others
References
D. Klingman, A. Napier and J. Stutz. NETGEN: a Program for Generating Large Scale Capacitated Assignment, Transportation, and Minimum Cost Flow Network Problems.Manag. Sci., 1974, 20: 814–821.
J. Sun and K.-H. Tsai. An Implementation of the Network Simplex Method for Piecewise Linear Programs. Tech. Report 89-07, Dept. of IE/MS, Northwestern University, Evanston, Illinois, 1989.
A.M. Geoffrion. Objective Function Approximation in Mathematical Programming.Math. Program., 1977, 13: 23–37.
R.T. Rockafellar. Network Flows and Monotropic Optimization. Wiley-Interscience, New York, 1984.
L. Cooper and L.J. Leblanc. Stochastic Transportation Problems and Other Network Related Convex Problems.Naval Research Logistics Quarterly, 1977, 24: 324–336.
R. Fourier. A Simplex Algorithm for Piecewise-linear Programming III: Computational Analysis and Applications. Tech. Report 86-03 Department of IE/MS, Northwestern University, Evanston IL 60208, 1986.
R.T. Rockafellar. Large-scale Extended Linear-quadratic Programming and Multistage Optimization. Preprint, Dept. of Math. University of Washington, Seattle, WA 98195, 1989.
R.T. Rockafellar and R.J-B. Wets. Generalized Linear-quadratic Problems of Deterministic and Stochastic Optimal Control in Discrete Time.SIAM J. Control and Optimization, 1990, 28: 810–822.
J. Sun. Tracing the Characteristic Curve of a Quadratic Black Box.Networks, 1989, 19: 637–650.
A. Charnes and C.E. Lemke. Minimization of Nonlinear Separable Convex Functionals.Naval Research Logistics Quarterly, 1954, 1: 301–312.
J.L. Kennington and R.V. Helgason. Algorithms for Network Programming. Wiley-Interscience, New York, 1980.
R.T. Rockafellar. Monotropic Programming: a Generalization of Linear Programming and Network Programming, in Convexity and Duality in Optimization. J. Ponstein ed., Springer-Verlag, Lecture Notes in Economics and Math. Systems, 1985, 256: 10–36.
R. Fourier and R.E. Marsten. Solving Piecewise-linear Programs: Experiments with a Simplex Approach. Technical Report 90-07, Department. of IEMS, Northwestern University, Evanston, USA, 1990.
J. Sun, L. Qi and K. Tsai. “Solving Stochastic Transshipment Problems as Network Piecewise Linear Programs”. Tech. Report 89-09, Dept. of IEMS, Northwestern University, Evanston IL 60208, 1989.
V. Chvátal. Linear Programming. Freeman, New York, 1983.
M.D. Grigoriadis. An Efficient Implementation of the Network Simplex Method.Mathematical Programming Study, 1986, 26: 83–111.
A.I. Ali and J.L. Kennington. NETFLO User's Guide. Tech Report 88-OR-22, Department of Operations Research and Engineering Mariagement, Southern Methodist Univ., Dallas, TX 75275, 1988.
Author information
Authors and Affiliations
Additional information
This research is supported in part by National Science Foundation of USA under Grant DDM-8721709.
Rights and permissions
About this article
Cite this article
Sun, J., Tsai, K. A generator and a simplex solver for network piecewise linear programs. Acta Mathematicae Applicatae Sinica 10, 177–185 (1994). https://doi.org/10.1007/BF02006117
Received:
Issue Date:
DOI: https://doi.org/10.1007/BF02006117