Two aspects of optimal diet determination for pig production: efficiency of solution and incorporation of cost variation

Author:

Sirisatien Duangdaw,Wood Graham R.,Dong Mingqiang,Morel Patrick C. H.

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Reference14 articles.

1. Aarts, E., Korst, J.: Simulated annealing and Boltzman machines—a stochastic approach to combinatorial optimization and neural computing. Wiley, New York (1989)

2. Alexander, D.L.J., Morel, P.C.H., Wood, G.R.: Feeding strategies for maximising gross margin in pig production. In: Pinter, J.D. (ed.) Nonconvex Optimization and its Applications. Global Optimization: Scientific and Engineering Case Studies, vol. 85, pp. 33–43. Springer, US (2006)

3. de Lange, C.F.M.: Framework for a simplified model to demonstrate principles of nutrient partitioning for growth in the pig. In: Moughan, P.J., Verstegen, M.W.A., Visser-Reyneveld, M.I.(eds) Modelling Growth in the Pig. EAAP Publication, vol. 78, pp. 71–85. Wageningen Press, Wageningen (1995)

4. de Lange, K., Coudenys, K. In: Interactions between nutrition and the expression of genetic performance potentials in grower-finisher pigs. University of Guelph. Available via DIALOG. http://mark.asci.ncsu.edu/nsif/96proc/delange.ht .. Cited 23 October 2004 (2004)

5. Glover, F., Laguna, M.: Tabu Search. Kluwer Academic Publishers, Norwell, MA (1997)

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