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Innovative architecture based on big data and genetic algorithm for transport logistics optimization.

Author(s)
Z. MOUAMMINE Laboratory Industrial Engineering, Information Processing and Logistics (GITIL), Faculty of Science Ain Chok. University Hassan II, Casablanca, Morocco
A. AMMOUMOU Laboratory Industrial Engineering, Information Processing and Logistics (GITIL) High School of Technology University Hassan II, Casablanca, Morocco
B. NSIRI Research Center STIS, M2CS, National School of Arts and Crafts of Rabat (ENSAM), Mohammed V University in Rabat, Morocco
S. BOUREKKADI Salmane BOUREKKADI, university of Poitiers, Poitiers-France, university of ibno tofail, Kenitra, Morocco.
Abstract
Many studies were carried out in the smart city field to improve the integration or to optimize the intelligent transport systems (ITS) in business. Yet, there were very few researches studying how ITS can still work outside of the context of a smart city. Taking this issue into consideration, this study was carried out to suggest a new system allowing shipping companies to keep working with their ITS even outside of the context of Smart city based on Genetic algorithm, Big Data, and multi-agent architecture. This is possible through implementing a transport information system, which will provide and exchange data about the optimum path to follow with vehicles (traveling vehicle problem) on the road. Theoretically speaking, this proposed system accelerates the processing time and enhances the quality of the obtained result with the Genetic algorithm to solve Salesman problem.
Publication Details
Page(s) 3486-3495
DOI DOI not available
Published Journal: Journal of Theoretical and Applied Information Technology, Volume: 98, Issue: 17, Year: 2020

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Keywords
Distribution Logistics
References
MOUAMMINE Z.,AMMOUMOU A.,NSIRI B.,BOUREKKADI S. .2020 .INNOVATIVE ARCHITECTURE BASED ON BIG DATA AND GENETIC ALGORITHM FOR TRANSPORT LOGISTICS OPTIMIZATION. Journal of Theoretical and Applied Information Technology, 98(17) : .
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