A Global Convergence Algorithm for the Supply Chain Network Equilibrium Model
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2012, Vol 3, Issue 2
Abstract
In this paper, we first present an auxiliary problem method for solving the generalized variational inequalities problem on the supply chain network equilibrium model (GVIP), then its global convergence is also established under milder conditions.
Authors and Affiliations
Lei Wang
Keywords
Related Articles
- EP ID EP92525
- DOI 10.14569/IJACSA.2012.030203
- Views 68
- Downloads 0
Performances Analysis of a SCADA Architecture for Industrial Processes
SCADA (Supervisory Control And Data Acquisition) systems are used to monitor and control various industrial processes, and have been continuously developed in order to incorporate the new technologies from software devel...
Forecasting the Tehran Stock Market by Artificial Neural Network
One of the most important problems in modern finance is finding efficient ways to summarize and visualize the stock market data to give individuals or institutions useful information about the market behavior for investm...
Variable Reduction-based Prediction through Modified Genetic Algorithm
Due to the massive influence in the use of prediction models in different sectors of society, many researchers have employed hybrid algorithms to increase the accuracy level of the prediction model. The literature sugges...
Correlated Topic Model for Web Services Ranking
With the increasing number of published Web services providing similar functionalities, it’s very tedious for a service consumer to make decision to select the appropriate one according to her/his needs. In this paper, w...
The Role of user Involvement in the Success of Project Scope Management
Greater emphasis is now being placed on User Involvement as a factor imperative to Success in Project Scope Management. Although Project Scope Management Processes have a tendency to centre on various factors pertaining...