Cloud Logistics Path Optimization Based on Ant Colony Algorithm

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Abstract:

Cloud Manufacturing is developed in the cloud computing, which is based on the idea of "Made in service" recently. Cloud manufacturing mode connect all sorts of manufacturing resources and capability together and form standard manufacturing services which customers can obtain according to their demand at any time. Logistics mode should coincide with manufacturing mode for the certain correlation between logistics and manufacturing process,so the production and development of cloud manufacturing mode had the logistics mode reformed. In this paper we present a cloud manufacturing service composition method considering execution reliability based on ant algorithm, to optimize the use of composite service execution path to save the costs.

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442-445

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December 2014

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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[1] Xun Xu.  From cloud computing to cloud manufacturing[J]. Robotics and Computer Integrated Manufacturing . 2011 (1).

Google Scholar

[2] Zhang Yan-hua, Feng Lei, Yang Zhi.  Optimization of Cloud Database Route Scheduling Based on Combination of Genetic Algorithm and Ant Colony Algorithm[J]. Procedia Engineering . (2011).

DOI: 10.1016/j.proeng.2011.08.626

Google Scholar

[3] A Brief Survey on the Security Model of Cloud Computing[A]. Proceedings of the Ninth International Symposium on Distributed Computing and Applications to Business, Engineering and Science[C]. (2010).

DOI: 10.1109/dcabes.2010.103

Google Scholar

[4] Research and Implementation of Future Network Computer based on Cloud Computing[A]. Proceedings of 2010 Third International Symposium on Knowledge Acquisition and Modeling (KAM 2010)[C]. (2010).

DOI: 10.1109/kam.2010.5646281

Google Scholar

[5] Nezamabadi-pour H, Saryazdi S, and Rashedi E. Edge detection using ant algorithm[J]. Soft Comput, 2006, 10(7): 623-628.

DOI: 10.1007/s00500-005-0511-y

Google Scholar