2004
DOI: 10.1016/s0377-2217(03)00102-4
|View full text |Cite
|
Sign up to set email alerts
|

Memetic Algorithm timetabling for non-commercial sport leagues

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
29
0

Year Published

2006
2006
2022
2022

Publication Types

Select...
5
2
2

Relationship

0
9

Authors

Journals

citations
Cited by 49 publications
(30 citation statements)
references
References 20 publications
1
29
0
Order By: Relevance
“…Vasko (2003) used mathematical programming on a problem concerning the selection of teams and team positions so as to ensure that every member of a children's baseball team would be involved to a roughly equal extent-not the kind of objective that a professional team would consider important! Schönberger et al (2004) reported on a system using memetic algorithms to schedule fixtures for a table tennis league. Here factors such as 'limited access to sport facilities and temporary non-availability of sportsmen' were key-everyday concerns in amateur sport but not usually important for professional sports.…”
Section: Who Are We Working For?mentioning
confidence: 99%
“…Vasko (2003) used mathematical programming on a problem concerning the selection of teams and team positions so as to ensure that every member of a children's baseball team would be involved to a roughly equal extent-not the kind of objective that a professional team would consider important! Schönberger et al (2004) reported on a system using memetic algorithms to schedule fixtures for a table tennis league. Here factors such as 'limited access to sport facilities and temporary non-availability of sportsmen' were key-everyday concerns in amateur sport but not usually important for professional sports.…”
Section: Who Are We Working For?mentioning
confidence: 99%
“…Timetabling problems have been the subject of active research in recent time [1,2], and [3] reports that timetabling problems have attracted substantial research interests due to its importance in a wide variety of application domains, including Education [4], Employee/Staff Rostering [5], Healthcare Institutions [6], Sports events [7], Interview scheduling [8], and many other constraint satisfaction problems. This diversity and its relevance in practice made timetabling an active research area in operations research [9].…”
Section: Introductionmentioning
confidence: 99%
“…Several works in different contexts (see e.g. [2], [4], [9], [12], [13], [14], [18]) tackled the problem of tournament scheduling in different leagues and sports, which contains many interesting discussion on sport scheduling. Basically, the schedule of MLB is a conflict between minimizing travel distances and feasibility constraints on the home/away patterns.…”
Section: Introductionmentioning
confidence: 99%