Particle therapy patient scheduling with limited starting time variations of daily treatments
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Publication:6066719
DOI10.1111/itor.12579WikidataQ129447996 ScholiaQ129447996MaRDI QIDQ6066719
Günther R. Raidl, Johannes Maschler
Publication date: 16 November 2023
Published in: International Transactions in Operational Research (Search for Journal in Brave)
hybrid metaheuristiccancer treatmentparticle therapy patient schedulingiterated greedy metaheuristic
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Cites Work
- A simple and effective iterated greedy algorithm for the permutation flowshop scheduling problem
- A survey of variants and extensions of the resource-constrained project scheduling problem
- Optimization models for radiotherapy patient scheduling
- Note: A local-search heuristic for large set-covering problems
- An iterative time‐bucket refinement algorithm for a high‐resolution resource‐constrained project scheduling problem
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