Use of Advanced Techniques to Optimize a Multi-dimensional Dairy Model

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Mayer, D.G., 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: 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
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
Live Archive:	09 Dec 2003
Last Modified:	03 Sep 2021 16:46

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