Optimal One Day International Cricket Team Selection by Genetic Algorithm

Abstract

Cricket is one of the oldest and most popular games in the world. At present it is played professionally and none professionally around the world. Even though the origin of cricket is unknown, there are evidences that it has been played in 16th century. Since then, this remarkable game has developed massively and the first international test cricket match was played in 1877 between Australia and England. Generally there are three types of international cricket matches, which are Test match cricket, one day international cricket and 20-20 cricket. Since the popularity of cricket, it has an immense financial importance. Therefore, winning more matches consistently will generate more financial benefits for the country. Selecting the most suitable cricket team for the given scenario is very vital as far as winning matches are concerned. This system contains various individual characteristics such as players’ batting average, bowling average, Number of wickets and so on. This study describes how to select the optimal one day international squad of Sri Lanka, which consists of 15 players out of 30 players, for the world cup 2015 which is played in Australia. By using Genetic Algorithm method and MATLAB 7 software a system has been constructed to implement the results

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