Meta-heuristics meet sports: a systematic review from the viewpoint of nature inspired algorithms

MKA Ariyaratne, RM Silva - … Journal of Computer Science in Sport, 2022 - sciendo.com
This review explores the avenues for the application of meta-heuristics in sports. The
necessity of sophisticated algorithms to investigate different NP hard problems encountered …

A team recommendation system and outcome prediction for the game of cricket

SB Jayanth, A Anthony, G Abhilasha… - Journal of Sports …, 2018 - content.iospress.com
Predicting the outcome of a game using players strength and weakness against the players
of the opponent team by considering the statistics of a set of matches played by players …

Cricket team selection using data envelopment analysis

GR Amin, SK Sharma - European journal of sport science, 2014 - Taylor & Francis
This paper suggests a new method for cricket team selection using data envelopment
analysis (DEA). We propose a DEA formulation for evaluation of cricket players in different …

[HTML][HTML] An efficient team prediction for one day international matches using a hybrid approach of CS-PSO and machine learning algorithms

M Ishi, J Patil, V Patil - Array, 2022 - Elsevier
Player classification is vital in cricket since it assists the coach and skipper in determining
individual players' roles in the squad and allocating tasks appropriately. The performance …

Selection of the all-time best World XI Test cricket team using the TOPSIS method

S Chakraborty, V Kumar… - Decision Science …, 2018 - m.growingscience.com
The aim of this paper is to apply the technique for order preference by similarity to ideal
solution (TOPSIS) as a multi-criteria decision making tool to form the all-time best World XI …

Performance trajectories of bowlers and batters from youth level to senior professional status in cricket

TW Brown, LA Gough, AL Kelly - International Journal of …, 2022 - Taylor & Francis
The identification and development of talent towards expertise is the primary goal for many
professional cricket organisations. The purpose of this study was to utilise retrospective …

[PDF][PDF] List of references on evolutionary multiobjective optimization

CAC Coello - URL< http://www. lania. mx/~ ccoello/EMOO …, 2010 - delta.cs.cinvestav.mx
List of References on Evolutionary Multiobjective Optimization Page 1 List of References on
Evolutionary Multiobjective Optimization Carlos A. Coello Coello ccoello@cs.cinvestav.mx …

Optimization of team selection in fantasy cricket: a hybrid approach using recursive feature elimination and genetic algorithm

A Jha, AK Kar, A Gupta - Annals of Operations Research, 2023 - Springer
Fantasy Sports allows individuals to assemble a virtual team to participate in free or paid
tournaments and earn rewards. Selecting a good team forms a crucial decision in fantasy …

A balanced squad for Indian premier league using modified NSGA-II

S Verma, V Pandey, M Pant, V Snasel - IEEE Access, 2022 - ieeexplore.ieee.org
Selecting team players is a crucial and challenging task demanding a considerable amount
of thinking and hard work by the selectors. The present study formulated the selection of an …

Cricketer's tournament-wise performance prediction and squad selection using machine learning and multi-objective optimization

D Tirtho, S Rahman, MS Mahbub - Applied Soft Computing, 2022 - Elsevier
The selection of a proper squad for a competition is vital in any sport, and cricket is no
different. The diversity of squad formation is vital because those in charge of squad …