RESOURCE CONSTRAINT COOPERATIVE GAME WITH MONTE CARLO TREE SEARCH

A hybrid methodology of game theory and Monte Carlo Tree Search was developed and the hybrid methodology was tested with various case studies through the nurse scheduling problem to show that it was able to form Pareto front dominance solutions, finding feasible solutions that were optimal and finding feasible partial solutions in over-constrained problems. The performance comparison was carried out with the Genetic Algorithm on the Resident Physician Scheduling problem and showed that the hybrid methodology was able to produce better quality solutions compared to the state of the art approach.

Name thesis:degree_name

Doctor of Philosophy

Level thesis:degree_level

Campus Only Dissertation

Discipline thesis:degree_discipline

Computer Science

Year

2016

Author dc:creator

• Cheng, Chee Chian

Contributors dc:contributor

• Carver, Norman

• cooperative game
• monte carlo tree search
• nurse scheduling problem
• physician scheduling problem
• resource constraint

Repository record dc:identifier

https://opensiuc.lib.siu.edu/dissertations/1239

OAI identifier oai:identifier

oai:opensiuc.lib.siu.edu:dissertations-2243