Job Sequencing with One Common and Multiple Secondary Resources: A Problem Motivated from Particle Therapy for Cancer Treatment

Matthias Horn, Günther Raidl, Christian Blum
January 2017
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Abstract

Full Citation:

Matthias Horn, Günther R. Raidl, Christian Blum. Job Sequencing with One Common and Multiple Secondary Resources: A Problem Motivated from Particle Therapy for Cancer Treatment. MOD~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.

Type
Conference Paper
Branch and Bound Combinatorial Optimization Smooth Graphs
Günther Raidl
Günther Raidl

Günther Raidl is a Professor at the Algorithms and Complexity Group.