Intelligent Optimization Scheduling Algorithm for Professional Sports Games

Abstract

The world financial crisis has caused a great impact to human beings' daily life. The significant evidence is that the oil price has hit, more than, 90 U.S. according to the report of ministry of economic affairs. The price reflects the difficulty not only to transportation but finance status. In this paper, an optimization algorithm concerning the scheduling issues was proposed. The algorithm was revised in accordance with Tabu Search algorithm and Genetics algorithm. The purpose of this work is to reduce the travelling cost, simply achieve the least expenditures. The information of famous sports league (e.g. NBA) was adopted as preliminary experiment data. The travelling distances, according to the matchups of 2009 NBA games, were collected and obtained the straight-line distances from Google Map API. As a result, our method could reduce, at least, around 14,000 kilometers under 45,000 times mutation with the rate at 0.1%.

Sport Tournament Automated Scheduling System

“…A sports tournament scheduling is defined as the process of assigning essential sport activities in sequence with the time needed to complete each activity [1]. It is a challenging task due to the wide variety of different needs and requirements that must be taken into consideration, either at professional or amateur level [2][3][4][5][6][7][8][9][10]. The inefficiency of the solution, which is the tournament's schedule, normally exists when these requirements are not met and time consumed in constructing the schedules is relatively long.…”