Paper Info
Title
A Decision Support System for Solving Linear Programming Problems
Abstract
Linear programming algorithms have been widely used in Decision Support Systems. These systems have incorporated linear programming algorithms for the solution of the given problems. Yet, the special structure of each linear problem may take advantage of different linear programming algorithms or different techniques used in these algorithms. This paper proposes a web-based DSS that assists decision makers in the solution of linear programming problems with a variety of linear programming algorithms and techniques. Two linear programming algorithms have been included in the DSS: i revised simplex algorithm and ii exterior primal simplex algorithm. Furthermore, ten scaling techniques, five basis update methods and eight pivoting rules have been incorporated in the DSS. All linear programming algorithms and methods have been implemented using MATLAB and converted to Java classes using MATLAB Builder JA, while the web interface of the DSS has been designed using Java Server Pages.
Year
DOI
Venue
2014
10.4018/ijdsst.2014040103
International Journal of Decision Support System Technology
Keywords
Field
DocType
Decision Making, Exterior Primal Simplex Algorithm, Linear Programming, Revised Simplex Algorithm, Web-based Decision Support Systems
Procedural programming,Linear-fractional programming,Functional reactive programming,Data mining,Mathematical optimization,Computer science,Constraint programming,Inductive programming,Theoretical computer science,Reactive programming,Linear programming,Criss-cross algorithm
Journal
Volume
Issue
ISSN
6
2
1941-6296
Citations 
PageRank 
References 
0
0.34
8
Authors
3
Name
Order
Citations
PageRank
Nikolaos Ploskas1236.91
Nikolaos Samaras210515.65
Jason Papathanasiou3237.46