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Goal programming model to find least cost ration for non-pregnant dairy buffaloes: an alternative approach

Published on: 7/26/2022
Author/s : Ravinder Singh Kuntal 1, Radha Gupta 2, Duraisamy Rajendran 3 & Vishal Patil 1 / 1 Department of Mathematics, Jain University, Bengaluru, 562112, India; 2 Department of Mathematics, Dayananda Sagar University, Bengaluru, India; 3 ICAR-National Institute of Animal Nutrition and Physiology, Adugodi, Bengaluru, 560030, India.

A GP model is developed for non-pregnant dairy buffalo weighing 450 kg, yielding 10 L milk with 6% of fat content and considering standard nutrient requirement on dry matter basis considering all the 7 out of 8 goals as maximization function. Only the first goal is of minimization in nature as it represents cost function. In the earlier work [12] the GP model considered all the 8 goals, as minimization function which was not depicting the reality results. Hence a thorough review of the model in consultation with the Research Scientist and Nutritionists from NIANP is done, and it was concluded that all the 8 goals were of maximizing nature within the permissible range. This new GP model is solved by real coded GA with hybrid function and the results obtained are in sync with reality.


Abstract published in International Journal of Tropical Agriculture 2018 Vol.36 No.3 pp.823-826 ref.17.

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