Abstract
This paper discusses a self-organizing migrating genetic algorithm for animal diet formulation. In the first phase of work, linear models are formulated for minimum cost and maximum shelf life feed quality, and the second phase discusses a self-organizing migrating genetic algorithm to find quick solution. It also compares the results by linear programming technique (LP) and SOMGA and provides the successful application of soft computing technique in the area of animal diet formulation.
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Singh, D., Saxena, P. (2015). Optimization of Livestock Feed by Blend of Linear Programming and SOMGA. In: Das, K., Deep, K., Pant, M., Bansal, J., Nagar, A. (eds) Proceedings of Fourth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 336. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2220-0_27
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DOI: https://doi.org/10.1007/978-81-322-2220-0_27
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