A Balanced Squad for Indian Premier League Using Modified NSGA-II

Selecting team players is a crucial and challenging task demanding considerable amount of thinking hard work by the selectors. The present study formulated selection an IPL as multi-objective optimization problem with objectives maximizing batting bowling performance squad, in which player’s estimated using efficient Batting Performance Factor Combined Bowling Rate. Also, proposed model tries to formulate balanced squad constraining number pure batters, bowlers all-rounders. Bounds are considered on star enhance also from income prospects IPL. itself treated 0/1 knapsack for two combinatorial algorithms, namely, BNSGA-II INSGA-I, developed. These algorithms were compared existing modified NSGA-II three other popular NSGA-II, NSDE MOPSO-CD basis standard metrics: hypervolume inverted generational distance. Both performed well, performing better than all this study. 2020 players’ data validated applicability algorithms. trade-off squads have appropriate proportions each expertise. Further analysis demonstrated that many theoretically selected well matches.