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
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.
| Item Type: | Article |
|---|---|
| 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 07:02 |
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