Open-Loop Solutions for the Dynamic Routing Problem,

Abstract

This work deals with the problem of obtaining an open-loop solution to the minimum delay dynamic routing problem. The dynamic routing problem is stated using a dynamic model suggested in previous works. This work uses some previously known properties of the optimal solution and formulates the routing problem as a cubic optimization problem. In general such problems are very hard to solve; however, the specific problem at hand is finally formulated as a nonconvex quadratic program by using its special structure. Two different approaches, based on the latter representation of the problem, are proposed: (a) Utilization of existing methods for solving nonconvex quadratic programs, (b) development of a special purpose algorithm. The algorithm is developed for single destination networks with unity weightings in the cost functional, and it finds the optimal solution by solving a series of linear programs. The algorithm is based on a series of specially developed theorems. These theorems provide use with new insight into the behaviour of the dynamic routing in networks. The method is implemented by a computer program and several examples are run to test its applicability. (Author)

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1980
Accession Number
ADA085109

Entities

People

  • Adrian Segall
  • Samuel Shats

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Algorithms
  • Communication Networks
  • Computations
  • Computer Programs
  • Convex Programming
  • Convex Sets
  • Department Of Defense
  • Digital Communications
  • Evolutionary Algorithms
  • Linear Programming
  • Mathematical Programming
  • Nonlinear Programming
  • Operations Research
  • Optimization
  • Quadratic Programming
  • Simplex Method
  • Systems Engineering

Fields of Study

  • Computer science
  • Mathematics

Readers

  • Control Systems Engineering.
  • Operations Research