Numerical Optimization Approaches for Searching Discrimination Designs

Abstract

The problems of constructing optimal discrimination designs are considered Given a discrimination design criterion we transfer the corresponding design search problem as an optimization problem Due to the complex optimization problems we proposed efficient numerical search algorithms by combining several different optimization approaches Finally the equivalence theorems are used to check the best designs identified by the proposed approaches are optimal or not

Date of Award	2016 Aug 31
Original language	English
Supervisor	Ray-Bing Chen (Supervisor)