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Machine scheduling to minimize weighted completion times: the use of the α-point
This work reviews the most important results regarding the use of the α-point in Scheduling Theory. It provides a number of different LP-relaxations for scheduling problems and seeks to explain their polyhedral consequences. It also explains the concept of the α-point and how the conversion algorith...
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Lenguaje: | eng |
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Springer
2018
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Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-77528-9 http://cds.cern.ch/record/2316204 |
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author | Gusmeroli, Nicoló |
author_facet | Gusmeroli, Nicoló |
author_sort | Gusmeroli, Nicoló |
collection | CERN |
description | This work reviews the most important results regarding the use of the α-point in Scheduling Theory. It provides a number of different LP-relaxations for scheduling problems and seeks to explain their polyhedral consequences. It also explains the concept of the α-point and how the conversion algorithm works, pointing out the relations to the sum of the weighted completion times. Lastly, the book explores the latest techniques used for many scheduling problems with different constraints, such as release dates, precedences, and parallel machines. This reference book is intended for advanced undergraduate and postgraduate students who are interested in scheduling theory. It is also inspiring for researchers wanting to learn about sophisticated techniques and open problems of the field. |
id | cern-2316204 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2018 |
publisher | Springer |
record_format | invenio |
spelling | cern-23162042021-04-21T18:51:00Zdoi:10.1007/978-3-319-77528-9http://cds.cern.ch/record/2316204engGusmeroli, NicolóMachine scheduling to minimize weighted completion times: the use of the α-pointMathematical Physics and MathematicsThis work reviews the most important results regarding the use of the α-point in Scheduling Theory. It provides a number of different LP-relaxations for scheduling problems and seeks to explain their polyhedral consequences. It also explains the concept of the α-point and how the conversion algorithm works, pointing out the relations to the sum of the weighted completion times. Lastly, the book explores the latest techniques used for many scheduling problems with different constraints, such as release dates, precedences, and parallel machines. This reference book is intended for advanced undergraduate and postgraduate students who are interested in scheduling theory. It is also inspiring for researchers wanting to learn about sophisticated techniques and open problems of the field.Springeroai:cds.cern.ch:23162042018 |
spellingShingle | Mathematical Physics and Mathematics Gusmeroli, Nicoló Machine scheduling to minimize weighted completion times: the use of the α-point |
title | Machine scheduling to minimize weighted completion times: the use of the α-point |
title_full | Machine scheduling to minimize weighted completion times: the use of the α-point |
title_fullStr | Machine scheduling to minimize weighted completion times: the use of the α-point |
title_full_unstemmed | Machine scheduling to minimize weighted completion times: the use of the α-point |
title_short | Machine scheduling to minimize weighted completion times: the use of the α-point |
title_sort | machine scheduling to minimize weighted completion times: the use of the α-point |
topic | Mathematical Physics and Mathematics |
url | https://dx.doi.org/10.1007/978-3-319-77528-9 http://cds.cern.ch/record/2316204 |
work_keys_str_mv | AT gusmerolinicolo machineschedulingtominimizeweightedcompletiontimestheuseoftheapoint |