Optimization of livestock feed by blend of linear programming and SOMGA

Advances in Intelligent Systems and Computing

Volumn 336, Issue , 2015, Pages 341-352

  Singh, Dipti ^a   Saxena, Pratiksha ^a  

^a GAUTAM BUDDHA UNIVERSITY   (India)

Author keywords

Animal nutrition; Linear programming; Self organizing migrating genetic algorithm; Soft computing technique

Indexed keywords

AGRICULTURE; ALGORITHMS; ANIMALS; GENETIC ALGORITHMS; NUTRITION; PROBLEM SOLVING; SOFT COMPUTING;

ANIMAL DIET; ANIMAL NUTRITIONS; FEED QUALITY; LINEAR PROGRAMMING TECHNIQUES; LIVESTOCK FEED; MINIMUM COST; SECOND PHASE; SOFTCOMPUTING TECHNIQUES;

LINEAR PROGRAMMING;

EID: 84927726528     PISSN: 21945357     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-81-322-2220-0_27     Document Type: Conference Paper

References (15)

1. Saxena, P., Chandra, M.: Animal diet formulation: a review (1950–2010). Anim. Sci. Rev. 6 (57), 1–9 (2011) (CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources, UK)
2. Waugh, F.V.: The minimum cost dairy feed. J. Farm Econ 33, 299–310 (1951)
3. Rehman, T., Romero, C.: Multiple- criteria decision making technique and their role in livestock formulation. Agric. Syst. 15, 23–49 (1984)
4. Prišenk, J., Pažek, K., Rozman, C., Turk, J., Janžekovič, M., Borec, A.: Application of weighted goal programming in the optimization of rations for sport horses. J. Anim. Feed Sci. 22, 335–341 (2013)
5. Babić, Z., Perić, T.: Optimization of livestock feed blend by use of goal programming. Int. J. Prod. Econ. 130, 218–223 (2011)
6. Prišenk, J., Pažek, K., Rozman, Č., Turk, J., Borec, A.: Mathematical method for formulating animal feed rations. Lucrări Ştiinţifice-Seria Zootehnie 59(18), 72–76 (2013)
7. Žgajnar, J., Kavčič, S.: Weighted goal programming and penalty functions: Whole-farm planning approach under risk. In: EAAE 2011 Congress Change and Uncertainty Challenges for Agriculture, Food and Natural Resources. Aug 30–Sept 2, 2011, ETH Zurich, Zurich, Switzerland
8. Žgajnar, J., Kavčič, S.: Multi-goal pig ration formulation; mathematical optimization approach. Agron. Res. 7(Special issue II), 775–782 (2009)
9. Saxena, P.: Application of nonlinear programming in the field of animal nutrition: A problem to maximize the weight gain in sheep. Natl. Acad. Sci. Lett. 29(1–2), 59–64 (2006)
10. Babic, Z., Peric, T.: Optimization of livestock feed blend by use of goal programming. Int. J. Prod. Econ. 130, 218–223 (2011)
11. Pratiksha, S.: Comparison of linear and nonlinear programming techniques for animal diet. Appl. Math. 1(1), 106–108 (2011)
12. National Research Council: Nutrient requirements of dairy cattle. 6th Rev. Natl. Acad. Sci, Washington, DC (1989)
13. Tozer, P.R.: Least cost ration formulations for Holstein dairy Heifers by using linear and stochastic programming. J. Dairy Sci. 83, 443–451 (2000)
14. Roush, W.B., Cravener, T.L., Zhang, F.: Computer formulation observations and caveats. Appl. Poult. Sci. 5, 116–25 (1996)
15. Akif Şahman, M., Çunkaş, M., İnal, Ş., İnal, F., Coşkun, B., Taşkiran, U.: Cost optimization of feed mixes by genetic algorithms. Adv. Eng. Softw. Arch. 40(10), 965–974 (2009)