Winter, F., & Musliu, N. (2022). An Investigation of Hyper-Heuristic Approaches for Teeth Scheduling. In MIC 2022: 14th Metaheuristics International Conference. 14th Metaheuristics International Conference (MIC 2022), Ortigia-Syracuse, Italy. Springer.
Finding efficient machine schedules in the area of teeth manufacturing is a challenging task, as complex constraints need to be fulfilled and multiple cost objectives should be minimized.
This paper investigates a hyper-heuristic solution approach for the artificial teeth scheduling problem which originates from real-life production sites. We propose low-level heuristic strategies which can be utilized by state-of-the-art selection-based hyper-heuristic strategies to efficiently solve large problem instances.
An extensive set of experiments on the benchmark instances shows that the proposed approach can improve results for several realistic scenarios.
CD Labor für Künstliche Intelligenz und Optimierung in Planung und Scheduling: keine Angabe (CDG Christian Doppler Forschungsgesellschaft)