Sports Competition System Arrangement Based on an Improved Multi-Objective Optimization Algorithm
Furkejuvvon:
| Publikašuvnnas: | Journal of Cases on Information Technology vol. 27, no. 1 (2025), p. 1-27 |
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| Váldodahkki: | |
| Eará dahkkit: | |
| Almmustuhtton: |
IGI Global
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| Fáttát: | |
| Liŋkkat: | Citation/Abstract Full Text - PDF |
| Fáddágilkorat: |
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| 001 | 3277803901 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 1548-7717 | ||
| 022 | |a 1548-7725 | ||
| 022 | |a 1098-8580 | ||
| 022 | |a 1537-937X | ||
| 024 | 7 | |a 10.4018/JCIT.394508 |2 doi | |
| 035 | |a 3277803901 | ||
| 045 | 2 | |b d20250101 |b d20250331 | |
| 084 | |a 54251 |2 nlm | ||
| 100 | 1 | |a Wang, Feng |u Guangdong Ocean University, China | |
| 245 | 1 | |a Sports Competition System Arrangement Based on an Improved Multi-Objective Optimization Algorithm | |
| 260 | |b IGI Global |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a This research suggests a flexible scheduling method for professional athletic events that hybridizes the tabu search with the genetic algorithms, resulting in a significant improvement in the efficiency of traditional game scheduling game-match planning outcomes. This project aims to lower the travel expenses for all participating teams. As a starting point for the experiment, data from well-known sports leagues (such as Major League Baseball and the National Basketball Association) has been utilized. The new strategy more effectively identifies superior outcomes than previous methods. Apart from devising a workable plan that satisfies all scheduling constraints, the challenge tackled in this paper is further complicated by the need to minimize travel expenses and ensure that each club plays an equal number of home games. To overcome the difficult challenge, the authors describe the issue of scheduling as a matter of optimization and use the idea of evolutionary strategy, taking into account sequential occurrences in a socially connected environment. | |
| 653 | |a Game theory | ||
| 653 | |a Strategy | ||
| 653 | |a Algorithms | ||
| 653 | |a Baseball | ||
| 653 | |a Games | ||
| 653 | |a Sports | ||
| 653 | |a Travel | ||
| 653 | |a Professional baseball | ||
| 653 | |a Basketball | ||
| 653 | |a Multiple objective analysis | ||
| 653 | |a Genetics | ||
| 653 | |a Scheduling | ||
| 653 | |a Genetic algorithms | ||
| 653 | |a Tabu search | ||
| 653 | |a Optimization | ||
| 653 | |a Costs | ||
| 653 | |a Professional basketball | ||
| 700 | 1 | |a Li, Zhengchang |u Guangdong Ocean University, China | |
| 773 | 0 | |t Journal of Cases on Information Technology |g vol. 27, no. 1 (2025), p. 1-27 | |
| 786 | 0 | |d ProQuest |t ABI/INFORM Global | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3277803901/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3277803901/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |