Team Selection Using Multi-/Many-Objective Optimization ...
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In this paper, we explore the use of multi-objective integer programming approach to alleviate this issue and deliver a set of optimal trade-off solutions ( ...
The multi-objective IPL team selection model was solved using integer linear programming [3] and non-dominated sorting genetic algorithm-II (NSGA-II) [2], [10].
In this paper, we explore the use of multi-objective integer programming approach to alleviate this issue and deliver a set of optimal trade-off solutions ( ...
Jul 8, 2018 · In this paper, we explore the use of multi-objective integer programming approach to alleviate this issue and deliver a set of optimal trade-off ...
This study attempts to select the optimum balanced playing XI from a squad of players given the specialization of the captain using binary integer ...
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It consists in solving a sequence of progressively more constrained single objective ILP problems and can be implemented through use of any ILP algorithm.
Missing: Team | Show results with:Team
Feb 9, 2020 · You can check out PolySCIP for multi-criteria optimization. Another easy way to use multiple objectives is the Python interface of Gurobi.
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Sep 9, 2019 · If there is a solution that maximizes all the objectives at once, then your choice of objective function is satisfying because this solution ...
Missing: Selection Many-
A multi-objective approach using NSGA-II algorithm to optimize overall batting and bowling strength of a team and find team members in it is proposed and ...
Mixed Integer Linear Programming problems are generally solved using a linear-programming based branch-and-bound algorithm.