Abstract
Available methods for the optimization of agricultural systems vary widely, in terms of derivation, applicability and performance. A whole-farm dairying model with 16 separate, interacting managerial options was optimized by the hill-climbing (quasi-Newton), direct search (simplex), genetic algorithm (GENESIS) and simulated annealing (VFSR) techniques. The latter two clearly out-performed the former, with simulated annealing always identifying the global optimum.
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