document: An operations research approach to the problem of the sugar cane selection Selection for superior clones is the most important aspect of sugar cane improvement programs , and is a long and expensive process . While studies have investigated different components of selection independently , there has not been a whole system approach to improve the process . This study observes the problem as an integrated system , where if one parameter changes the state of the whole system changes . A computer based stochastic simulation model that accurately represents the selection was developed . The paper describes the simulation model , showing its accuracy as well as how a combination of dynamic programming and branch and bound can be applied to the model to optimise the selection system , giving a new application of these techniques . The model can be directly applied to any region targeted by sugar cane breeding programs or to other clonally propagated crops
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