Mayer, D.G. and Belward, J.A. and Burrage, K. (1996) Use of Advanced Techniques to Optimize a Multi-dimensional Dairy Model. Agricultural Systems, 50 (3). pp. 239-253.
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Article Link(s): http://dx.doi.org/10.1016/0308-521X(95)00005-P
Publisher URL: http://www.elsevier.com
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.
|Corporate Creators:||Animal Science|
|Additional Information:||© Elsevier Science Ltd.|
|Keywords:||Agricultural systems; hill climbing (quasi-Newton); direct search (simplex); genetic algorithm (GENESIS); simulated annealing (VFSR) techniques.|
|Subjects:||Science > Statistics > Experimental design|
Science > Statistics > Simulation modelling
|Deposited On:||09 Dec 2003|
|Last Modified:||08 Jun 2011 06:02|
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