Current Issue ( Vol. : 6, Issue: 4, October-December 2018)   


Title: NON LINEAR PROGRAMMING MODEL FOR DIET OF SAHIWAL COWS FROM CONTROLLED RANDOM SEARCH
Author: Bhupendra Sharma, Subhash Chandra Sikdar
Keyword: Animal diet problem, Controlled Random Search Technique (RST2), Non-linear Programming (NLP), Sahiwal Cow.
Page No: 01-05
DOI: 10.30876/JOHR.7.1.2019.01-05
Abstract: A nonlinear formulation of optimum livestock diets, though very practical, has seen a limited research since classical techniques like Kuhn Tucker theory used by some researchers has its own limitatio ns due to the rigidity of mathematical characteristics that should hold good to apply this technique. The present study deals with the importance of linear livestock ration formulation for sahiwal cows of second to fifth lactation number to maximize the milk yield. Its solution is found using heuristic approaches viz Controlled Random Search Technique (RST2). We observe that the results obtained are well acceptable with slight deviations, takes less time due to computer usage, gives more flexibility to the decision maker. The techniques do not guarantee optimal solution but at least gives a solution which is best amongst the many solutions generated during the simulation process. The performance of both the techniques indicates that they can be well implemented for nonlinear livestock ration formulation problem. Download PDF


Title: NONLINEAR PROGRAMMING FOR ANIMAL NUTRIATIONS: AN INTRODUCTION FOR MAXIMIZE MILK GAIN BY BUFFALO
Author: Bhupendra Sharma, Subhash Chandra Sikdar
Keyword: Nonlinear Programming, Nutrient Ingredients, Weight Gain, Feed Formulation, Feeding Standards.
Page No: 06-08
DOI: 10.30876/JOHR.7.1.2019.06-08
Abstract: In this paper, nonlinear effects of nutrient ingredients are introduced as an approach closer to the true effects of nutrient ingredients. A nonlinear model is developed to take consideration of nutri ent ingredients more effectively. The nonlinear model is introduced in order to maximize the weight gain in buffalo by the optimal use of feed ingredients. Data from a variable caloric density study for buffalo is fitted to nonlinear objective function expression for weight gain of the animal in terms of feed ingredients. National Research Council requirements are introduced as constraints for mathematical model. Proposed model with nonlinear programming measures its performance and gives a comparative result with linear programming models. Thus the study is an attempt to develop a nonlinear programming model for optimal planning and best use of nutrient ingredients. Download PDF