Sports Competition System Arrangement Based on an Improved Multi-Objective Optimization Algorithm

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 trave...

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Bibliographic Details
Published in:Journal of cases on information technology Vol. 27; no. 1; pp. 1 - 26
Main Authors: Wang, Feng, Li, Zhengchang
Format: Journal Article
Language:English
Published: Hershey IGI Global 28.11.2025
Subjects:
Algorithms
Baseball
Basketball
Costs
Game theory
Games
Genetic algorithms
Genetics
Multiple objective analysis
Optimization
Professional baseball
Professional basketball
Scheduling
Sports
Strategy
Tabu search
Travel
ISSN:1548-7717, 1548-7725
Online Access:Get full text
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