Parallel primal-dual methods for the minimum cost flow problem
نویسندگان
چکیده
منابع مشابه
Parallel primal-dual methods for the minimum cost flow problem
In this paper we discuss the parallel asynchronous implementation of the classical primaldual method for solving the linear minimum cost network flow problem. Multiple augmentations and price rises are simultaneously attempted starting from several nodes with possibly outdated price and flow information. The results are then merged asynchronously subject to rather weak compatibility conditions....
متن کاملA unified framework for primal-dual methods in minimum cost network flow problems
We introduce a broad class of algorithms for finding a minimum cost flow in a capacitated network. The algorithms are of the primal-dual type. They maintain primat feasibility with respect to capacity constraints, while trying to satisfy the conservation of flow equation at each node by means of a wide variety of procedures based on flow augmentation, price adjustment, and ascent of a dual func...
متن کاملA Novel Experimental Analysis of the Minimum Cost Flow Problem
In the GA approach the parameters that influence its performance include population size, crossover rate and mutation rate. Genetic algorithms are suitable for traversing large search spaces since they can do this relatively fast and because the mutation operator diverts the method away from local optima, which will tend to become more common as the search space increases in size. GA’s are base...
متن کاملDual Based Procedures for Un-Capacitated Minimum Cost Flow Problem
In this article, we devise two dual based methods for obtaining very good solution to a single stage un-capacitated minimum cost flow problem. These methods are an improvement to the methods already developed by Sharma and Saxena [1]. We further develop a method to extract a very good primal solution from a given dual solution. We later demonstrate the efficacies and the significance of these m...
متن کاملVisualization software of the network exterior primal simplex algorithm for the minimum cost network flow problem
The Minimum Cost Network Flow Problem (MCNFP) constitutes perhaps the most important of the research area of Network Optimization. Recently a new category of algorithms for the MCNFP have been developed. These algorithms belong to a special “exterior type” simplex category and they feature significant tree modifications. This paper presents a new didactic tool for the teaching of this type of a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computational Optimization and Applications
سال: 1993
ISSN: 0926-6003,1573-2894
DOI: 10.1007/bf01299544