Criteria for a good approximation in a bi-criteria problem are introduced and different formulations of the genetic algorithm are tested and compared experimentally. In this paper we show how an interior point method can be used for solving n-party negotiation problems. We assume that all parties can agree with the set of negotiation objectives. The purpose of this project is to develop a new tool for sensitivity analysis based on visual interaction. This kind of tool is highly applicable, e.g., to analyzing investment projects.
Preliminary results seem to indicate that the starting point plays a significant role.
DEA supports evaluation, but not planning. It is not very suitable to, e.g., resource allocation with the purpose of improving the performance of a decision unit. Our aim is to develop efficient methods to manage quality in a production process. The key problem is to control uncertainty. New statistical methods are developed.