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International Journal Of Engineering, Business And Management(IJEBM)

Genetic Algorithm for solving Dynamic Supply Chain Problem

Taher Taha Zaki , Naglaa Ragaa Saeid

International Journal of Engineering, Business And Management(IJEBM), Vol-1,Issue-1, May - June 2017, Pages 50-53 ,

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The solution of dynamic supply chain problem is studied using both genetic algorithms and multistage dynamic programming. This is possible by employing Euler approximation method to approximate the differential of the variables. The problem is reformulated as unconstrained optimization problem which solved by genetic Algorithm and Multi Stages Dynamic Programming. The solution evaluation results from using dynamic programming and genetic algorithm is performed.

Dynamic Supply Chain, Genetic Algorithm, Multi Stages Dynamic Programming.

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