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A Generic Approach for Team Selection in Multi-player Games using Genetic Algorithm

by S. M. Aqil Burney, Nadeem Mahmood, Kashif Rizwan, Usman Amjad
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 40 - Number 17
Year of Publication: 2012
Authors: S. M. Aqil Burney, Nadeem Mahmood, Kashif Rizwan, Usman Amjad
10.5120/5071-7440

S. M. Aqil Burney, Nadeem Mahmood, Kashif Rizwan, Usman Amjad . A Generic Approach for Team Selection in Multi-player Games using Genetic Algorithm. International Journal of Computer Applications. 40, 17 ( February 2012), 11-17. DOI=10.5120/5071-7440

@article{ 10.5120/5071-7440,
author = { S. M. Aqil Burney, Nadeem Mahmood, Kashif Rizwan, Usman Amjad },
title = { A Generic Approach for Team Selection in Multi-player Games using Genetic Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { February 2012 },
volume = { 40 },
number = { 17 },
month = { February },
year = { 2012 },
issn = { 0975-8887 },
pages = { 11-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume40/number17/5071-7440/ },
doi = { 10.5120/5071-7440 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:28:19.546159+05:30
%A S. M. Aqil Burney
%A Nadeem Mahmood
%A Kashif Rizwan
%A Usman Amjad
%T A Generic Approach for Team Selection in Multi-player Games using Genetic Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 40
%N 17
%P 11-17
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The best team selection is always the requirement of management in different domains and in different organizations including government, project, industry, business and sports. The traditional team selection process is really lengthy, awkward and unclear due to manual process and personal judgments; which may lead to a disaster. These conflicting constraints and personal judgments can be translated into software for better and quick solution. This paper presents a solution to this problem with the help of genetic algorithm to find the optimal solution for the problem of cricket team selection and formation. Our approach is the combination of the existing quantitative approaches with some new extensions such as attributes regarding personal performances, team performance and the combination of players. Secondly our method is just not specific for cricket team but it is converted to generic model for other multiplayer games. We propose an adaptation of island genetic algorithm to optimize the selection of multiplayer sports team having multiple conflicting constraints with mixed crossover where the fitness of common solution is used to drive the selection.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Player Selection Genetic Computing Multi-Player Sports Team Selection Cricket

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