Title of article :
Optimal batting orders in one-day cricket
Author/Authors :
Tim B. Swartz & Michael Treschow، نويسنده , , Paramjit S. Gill، نويسنده , , David Beaudoin، نويسنده , , Basil M. deSilva، نويسنده ,
Issue Information :
ماهنامه با شماره پیاپی سال 2006
Pages :
12
From page :
1939
To page :
1950
Abstract :
This paper concerns the search for optimal or nearly optimal batting orders in one-day cricket. A search is conducted over the space of permutations of batting orders where simulated annealing is used to explore the space. A non-standard aspect of the optimization is that the objective function (which is the mean number of runs per innings) is unavailable and is approximated via simulation. The simulation component generates runs ball by ball during an innings taking into account the state of the match and estimated characteristics of individual batsmen. The methods developed in the paper are applied to the national team of India based on their performance in one-day international cricket matches.
Keywords :
Log-linear models , Markov chain methods , Monte Carlo simulation , Simulated annealing , WinBUGS software
Journal title :
Computers and Operations Research
Serial Year :
2006
Journal title :
Computers and Operations Research
Record number :
928743
Link To Document :
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