Abstract
The present paper deal with an unbalanced transportation problem, from coal transportation sector, is solved to demonstrate the application of Genetic Algorithm. Genetic Algorithms are unorthodox optimization search algorithms. It is a computerized search optimization algorithms based on the mechanics of natural genetics and natural selection. Using operations research techniques several feasible solutions are obtained. An efficient numerical solution has been found to suit the objective of the management by using Genetic Algorithm approach. It shows that an organization try to supply the commodities to all customers. This demonstrates the merit of Genetic Algorithm technique over the Transportation Problem, which is certainly an improvement in Transport Management.
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Deep, K., Dubey, O.P., Nagar, A. (2012). Incorporating Genetic Algorithms in Transport Management. In: Deep, K., Nagar, A., Pant, M., Bansal, J. (eds) Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011. Advances in Intelligent and Soft Computing, vol 130. Springer, India. https://doi.org/10.1007/978-81-322-0487-9_18
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DOI: https://doi.org/10.1007/978-81-322-0487-9_18
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