Using simulated annealing approach for scheduling sports tournament traveling problem (A case study of Ghana Football)
| dc.contributor.author | Nimako, Kingsley Kwabena | |
| dc.date.accessioned | 2017-01-16T10:09:24Z | |
| dc.date.accessioned | 2023-04-19T12:40:54Z | |
| dc.date.available | 2017-01-16T10:09:24Z | |
| dc.date.available | 2023-04-19T12:40:54Z | |
| dc.date.issued | SEPTEMBER 2014 | |
| dc.description | A thesis submitted to the Department of Mathematics, Kwame Nkrumah University of Science and Technology in partial fulfillment of the requirement for the Degree of Master of Science in Industrial Mathematics, | en_US |
| dc.description.abstract | The problem of finding optimal schedules for professional sports leagues has attracted interests of many researchers in recent years. On the one hand, the scheduling of sport leagues is an economically important class of combinatorial optimization applications, since sport leagues generate considerable amount of revenue for major radio and television networks and neither the sporting event organizers nor the participating teams want to waste their investments and resources due to the poor schedules of games. On the other hand, sport scheduling poses a very challenging optimization problem with multiple objectives and constraints combining issues of feasibility and optimality. | en_US |
| dc.description.sponsorship | KNUST | en_US |
| dc.identifier.uri | https://ir.knust.edu.gh/handle/123456789/9868 | |
| dc.language.iso | en | en_US |
| dc.title | Using simulated annealing approach for scheduling sports tournament traveling problem (A case study of Ghana Football) | en_US |
| dc.type | Thesis | en_US |
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