NEMay 30, 2013
Dienstplanerstellung in Krankenhaeusern mittels genetischer Algorithmen
arXiv:1305.7056v1
Originality Synthesis-oriented
AI Analysis
This work addresses nurse scheduling in hospitals, which is an incremental improvement in applying genetic algorithms to optimization problems.
The thesis tackled the problem of nurse scheduling in hospitals using genetic algorithms, showing that incorporating problem-specific knowledge significantly enhances performance, though the choice and inclusion method of this information are crucial.
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.