佳木斯大学学报(自然科学版)2024,Vol.42Issue(8) :170-172.

求解交通网络平衡问题的并行分裂算法

Parallel Split Algorithm for Solving Traffic Network Balancing Problem

朱雪珂 李欢
佳木斯大学学报(自然科学版)2024,Vol.42Issue(8) :170-172.

求解交通网络平衡问题的并行分裂算法

Parallel Split Algorithm for Solving Traffic Network Balancing Problem

朱雪珂 1李欢1
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作者信息

  • 1. 重庆移通学院远景学院,重庆 401520
  • 折叠

摘要

提出了一种新的并行分裂算法,用于求解能转化为可分离结构的变分不等式的交通网络平衡问题.基于该问题的可分离结构,分裂算法被广泛研究用于求其解.交替方向法是一种经典的求解变分不等式问题的算法,基于交替方向法,考虑当数据维数较大时,并行分裂算法更有效,且并不是所有子变分不等式都能精确求解.本文提出了 一种新的非精确并行交替方向法,在适当条件下证明了算法的收敛性,并应用于交通网络平衡问题,最后通过数值结果表明了算法的有效性.

Abstract

A new parallel splitting algorithm is proposed for solving transportation network bal-ance problems with variational inequalities that can be transformed into separable structures.Based on the separable structure of this problem,splitting algorithms have been widely studied to find its solu-tion.The alternating direction method is a classic algorithm for solving variational inequalities.Based on the alternating direction method,it is considered that when the data dimension is large,the parallel splitting algorithm is more effective,and not all sub-variational inequalities can be solved accurately.This paper proposes a new non-exact parallel alternating direction method,proves the convergence of the algorithm under appropriate conditions,and applies it to the traffic network balance problem.Final-ly,the effectiveness of the algorithm is demonstrated through numerical results.

关键词

变分不等式/并行分裂算法/可分离结构/交替方向法

Key words

variational inequalities/parallel splitting algorithm/separable structures/alternating direction method

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出版年

2024
佳木斯大学学报(自然科学版)
佳木斯大学

佳木斯大学学报(自然科学版)

影响因子:0.159
ISSN:1008-1402
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