A Web-Based Decision Support System for Linear Multi Follower Problems without Shared Variables

Abstract

Advanced web and database technology support remote data access and communication. It has opened new opportunities for decision support system builders to develop web-based DSS. This paper presents a webbased decision support system for linear bilevel multifollower problems without shared variables. An extended Kuhn-Tucker method for linear bilevel multi-follower programming is implemented in this system. It can compute a global optimal solution for linear bilevel multi-fol1ower programming problems without shared variables.