Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
475564 | Computers & Operations Research | 2006 | 12 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Tim B. Swartz, Paramjit S. Gill, David Beaudoin, Basil M. deSilva,