Dienstplanerstellung in Krankenhaeusern mittels genetischer Algorithmen

Abstract

This thesis investigates the use of problem-specific knowledge to enhance a genetic algorithm approach to multiple-choice optimisation problems. It shows that such information can significantly enhance performance, but that the choice of information and the way it is included are important factors for success.

Tasks

Reproductions