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Conventional tolerance analysis is tedious and time consuming, which makes engineers resist doing it. Complex assembly problems are generally beyond the capabilities of most design and manufacturing engineers. In this paper, genetic algorithm, a kind of non-traditional optimization technique is used as the basic foundation for optimal tolerance allocation to help design and manufacturing engineers to overcome the shortcomings in the conventional tolerance stack analysis and allocation system.

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In an assembly, there are two ways to control the deviation of critical dimensions. One is by keeping the deviation of the critical dimension small by tightening manufacturing tolerances and controlling aging and environmental effects. This approach is traditional and expensive, as it requires tighter manufacturing tolerances and protection from aging and the environment. The second is by moving the nominal values of the non-critical dimensions to a less sensitive portion. This approach is very helpful in improving the quality with no additional cost. One can analyze any number of designs very early in the concept development stage of a project. After the concept design the cost-based optimal tolerances for the corresponding dimensions are allocated. The continuous ants colony algorithm, a kind of meta-heuristic approach, is used as an optimization tool for minimizing the critical dimension deviation and allocating the costbased optimal tolerances.

Aim: To know the the relationship between body weight and linear body measurements such as body length, height at withers and heart girth in Malabari adult female goats under field conditions. Materials and Methods: A total of 152 adult female Malabari goats' body weight and body measurements (body length, height at withers and heart girth) were used to develop the step wise multiple regression equations. Results: The average body weight, body length, height at withers and heart girth were 24.23 0.73 kg, 59.42 0.98 cm, 61.02 1.03 cm and 66.54 1.09 cm, respectively. Prediction of body weight based on heart girth alone or combined with other body 2 measurements had higher coefficient of determination (R ) and lower residual mean square (MSE). Conclusion: It could be concluded that the prediction model for body weight of Malabari female adult goats with independent variable heart girth can be better fit.