Job Sequencing with One Common and Multiple Secondary Resources: A Problem Motivated from Particle Therapy for Cancer Treatment (bibtex)
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Reference:
Job Sequencing with One Common and Multiple Secondary Resources: A Problem Motivated from Particle Therapy for Cancer TreatmentMatthias Horn, Günther R. Raidl, Christian BlumMOD 2017: Machine Learning, Optimization, and Big Data – Third International Conference (Giovanni Giuffrida, Giuseppe Nicosia, Panos Pardalos, Renato Umeton, eds.), volume 10710 of LNCS, pages 506–518, 2017, Springer.
Bibtex Entry:
@inproceedings{horn-17,
author={Matthias Horn and Raidl, G{\"u}nther R. and Christian Blum},
title={Job Sequencing with One Common and Multiple Secondary Resources: A Problem Motivated from Particle Therapy for Cancer Treatment},
booktitle={MOD~2017: Machine Learning, Optimization, and Big Data -- Third International Conference},
series={LNCS},
volume = 10710,
pages = {506--518},
editor={Giuffrida, Giovanni and Nicosia, Giuseppe and Pardalos, Panos and Umeton, Renato},
publisher={Springer},
year = {2017},
url={https://www.ac.tuwien.ac.at/files/pub/horn-17.pdf},
keywords = {branch and bound, smooth graphs, combinatorial optimization}
}
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