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Title: Incorporating genetic algorithms in transport management
Authors: Deep, K.
Dubey O.P.
Nagar A.
Published in: Proceedings of Advances in Intelligent and Soft Computing
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. © 2012 Springer India Pvt. Ltd.
Citation: Proceedings of Advances in Intelligent and Soft Computing, (2012), 177- 192. Roorkee
Issue Date: 2012
Keywords: Demand level
Genetic Algorithm
Lexicographic Goal Programming
Transportation Problem
Demand level
Feasible solution
Genetic algorithm approach
Lexicographic goal programming
Natural selection
Numerical solution
Search Algorithms
Search optimization
Transport management
Transportation problem
Transportation sector
Coal industry
Problem solving
Soft computing
Genetic algorithms
ISBN: 9.79E+12
ISSN: 18675662
Author Scopus IDs: 8561208900
Author Affiliations: Deep, K., Dept. of Mathematics, Indian Institute of Technology, Roorkee, India
Dubey, O.P., Dept. of Mathematics, Bengal College of Engg. and Tech., Durgapur, India
Nagar, A., Dept. of Computer Science, Liverpool Hope Univ., Hope Park, Liverpool L169 JD, United Kingdom
Corresponding Author: Deep, K.; Dept. of Mathematics, Indian Institute of Technology, Roorkee, India; email:
Appears in Collections:Conference Publications [MA]

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