Результаты исследований: Научные публикации в периодических изданиях › обзорная статья › Рецензирование
Parameterized complexity of machine scheduling : 15 open problems. / Mnich, Matthias; van Bevern, René.
в: Computers and Operations Research, Том 100, 01.12.2018, стр. 254-261.Результаты исследований: Научные публикации в периодических изданиях › обзорная статья › Рецензирование
}
TY - JOUR
T1 - Parameterized complexity of machine scheduling
T2 - 15 open problems
AU - Mnich, Matthias
AU - van Bevern, René
N1 - Publisher Copyright: © 2018 Elsevier Ltd
PY - 2018/12/1
Y1 - 2018/12/1
N2 - Machine scheduling problems are a long-time key domain of algorithms and complexity research. A novel approach to machine scheduling problems are fixed-parameter algorithms. To stimulate this thriving research direction, we propose 15 open questions in this area whose resolution we expect to lead to the discovery of new approaches and techniques both in scheduling and parameterized complexity theory. (C) 2018 Elsevier Ltd. All rights reserved.
AB - Machine scheduling problems are a long-time key domain of algorithms and complexity research. A novel approach to machine scheduling problems are fixed-parameter algorithms. To stimulate this thriving research direction, we propose 15 open questions in this area whose resolution we expect to lead to the discovery of new approaches and techniques both in scheduling and parameterized complexity theory. (C) 2018 Elsevier Ltd. All rights reserved.
KW - Makespan
KW - Number of tardy jobs
KW - Parallel machines
KW - Shop scheduling
KW - Throughput
KW - Total completion time
KW - Total tardiness
KW - MULTIVARIATE ALGORITHMICS
KW - WEIGHTED NUMBER
KW - TASKS
KW - MAKESPAN MINIMIZATION
KW - OPEN SHOPS
KW - LATE JOBS
KW - MEAN FLOW TIME
KW - FORBIDDEN START
UR - http://www.scopus.com/inward/record.url?scp=85051547881&partnerID=8YFLogxK
U2 - 10.1016/j.cor.2018.07.020
DO - 10.1016/j.cor.2018.07.020
M3 - Review article
AN - SCOPUS:85051547881
VL - 100
SP - 254
EP - 261
JO - Computers and Operations Research
JF - Computers and Operations Research
SN - 0305-0548
ER -
ID: 16083112