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, Raidl, Günther R., 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 (Giuffrida, Giovanni and Nicosia, Giuseppe and Pardalos, Panos and Umeton, Renato), 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.