Discrete Cost Multicommodity Network Optimization Problems and Exact Solution Methods

نویسنده

  • Michel Minoux
چکیده

We first introduce a generic model for discrete cost multicommodity network optimization, together with several variants relevant to telecommunication networks such as: the case where discrete node cost functions (accounting for switching equipment) have to be included in the objective; the case where survivability constraints with respect to single-link and/or single-node failure have to be taken into account. An overview of existing exact solution methods is presented, both for special cases (such as the so-called single-facility and two-facility network loading problems) and for the general case where arbitrary step-increasing link cost-functions are considered. The basic discrete cost multicommodity flow problem (DCMCF) as well as its variant with survivability constraints (DCSMCF) are addressed. Several possible directions for improvement or future investigations are mentioned in the concluding section.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Comparison of Heuristics for the Discrete Cost Multicommodity Network Optimization Problem

In this paper, approximate solutions algorithms for discrete cost multicommodity network optimization problems are presented and compared. Firstly, extensions of classical greedy heuristics, based on link-rerouting and flow-rerouting heuristics, are presented in details. Secondly, a new approximate solution algorithm, which basically consists in a heuristic implementation of the exact Benders-t...

متن کامل

Optimal solution of the discrete cost multicommodity network design problem

We investigate a multicommodity network design problem where a discrete set of technologies with step-increasing cost and capacity functions should be installed on the edges. This problem is a fundamental network design problem having many important applications in contemporary telecommunication networks. We describe an exact constraint generation approach and we show that the conjunctive use o...

متن کامل

MASSACHUSETTS INSTITUTE OF TECHNOLOGY by Separable Concave Optimization Approximately Equals Piecewise - Linear Optimization OR 390 - 12

We study the problem of minimizing a nonnegative separable concave function over a compact feasible set. We approximate this problem to within a factor of 1 + 2 by a piecewise-linear minimization problem over the same feasible set. Our main result is that when the feasible set is a polyhedron, the number of resulting pieces is polynomial in the input size of the polyhedron and linear in 1/2. Fo...

متن کامل

Separable Concave Optimization Approximately Equals Piecewise Linear Optimization

We study the problem of minimizing a nonnegative separable concave function over a compact feasible set. We approximate this problem to within a factor of 1 + 2 by a piecewise-linear minimization problem over the same feasible set. Our main result is that when the feasible set is a polyhedron, the number of resulting pieces is polynomial in the input size of the polyhedron and linear in 1/2. Fo...

متن کامل

Bundle methods for sum-functions with "easy" components: applications to multicommodity network design

We propose a version of the bundle scheme for convex nondifferentiable optimization suitable for the case of a sum-function where some of the components are “easy”, that is, they are Lagrangian functions of explicitly known compact convex programs. This corresponds to a stabilized partial Dantzig-Wolfe decomposition, where suitably modified representations of the “easy” convex subproblems are i...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • Annals OR

دوره 106  شماره 

صفحات  -

تاریخ انتشار 2001