An objective approach of balanced cricket team selection using binary integer programming method

Comparing Performance of Different Team Selection Methods Using Fantasy League Scoring System

“…[15] proposed a new statistic, Runs Per Match (RM) which utilizes runs scored by the cricketer in a match and the total amount of resources used, to assess the performance of batsman and bowlers in ODI. [3] formulated a measure to select an optimum team where it introduces a measure that can quantify the performance of the cricketers into a single numerical value, which is a measure of the player's cricketing efficiency. Genetic Algorithm was applied in [8] for selecting a cricket team.…”

“…Depending on the strengths and weaknesses of the opponent, pitch and weather conditions, the combination of players' viz. the number of spinners, all-rounders, specialist batters and fast bowlers are decided [3]. The main difficulty that arises here is to select an optimum team that comprises a balanced mixture of players with all specializations.…”

Some Algorithms to Solve a Bi-Objectives Problem for Team Selection

“…represents the number of generations that have the same fitness value. Our proposed genetic algorithm's scheme for the MDSB can be described as follows: There are several researchers that have designed their own genetic algorithm for solving the mixed binary-integer optimization such as Das [6], Bo Feng et al [9], Sharp et al [24], Bhattacharjee and Saikia [7] and Burney et al [25]. The genetic algorithm is a philosophy, not just a typical algorithm.…”

“…There are many approaches to solving the (*) problem mentioned in the survey of Hwang [13] such as: (1) scalarizing: that formulating a single-objective optimization problem from the origin There is a lot of previous research used binary programming optimization as the decision-making model to indicate the selected candidates. For example: some authors used binary integer programming to select a cricket team [5][6][7]. Usually, the decision variable x i is used to represent the presence or absence of the ith candidate in the selected team, where x i = 1 i f candidate ith is selected 0 otherwise .…”

Personnel selection in complex organizations: A case of Mexican football team for the 2018 World Cup in Russia

“…Boon and Sierksma (2003) employed linear programming model for optimal team selection in volleyball. Bhattacharjee and Saikia (2016) used binary integer programming for selecting players of a cricket team, whereas Ahmed, Deb and Jindal (2013) used multi-objective optimization and decision-making approaches for a similar purpose.…”