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Titlebook: Communcations and Information Processing; First International Maotai Zhao,Junpin Sha Conference proceedings 2012 The Editor(s) (if applica

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https://doi.org/10.1007/978-3-642-31968-6Web services; ant colony optimization; data mining; multi-agent systems; real-time model checking; algori
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978-3-642-31967-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer-Verlag GmbH, DE
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Communcations and Information Processing978-3-642-31968-6Series ISSN 1865-0929 Series E-ISSN 1865-0937
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,Information und ihre Repräsentation,thod of modeling ship degaussing coil’s effect based on magnetization. The new method calculation the ship degaussing coil’s effect split less element than presently method, calculation fast but still with high accuracy. The result of calculation on the simple mathematic model shows that the method is reliable and feasible.
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https://doi.org/10.1007/978-3-642-95466-5has been shown to be NP complete in general case and also in several restricted cases. The paper introduces a novel framework for node scheduling problem based on Ant colony optimization (ACO). The performance of the algorithm is demonstrated by a Matlab program for producing effective schedules for random node sets.
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Datenstrukturierung detailliert,ayer switches are key equipments in the network. When network plan is designed, redundancy backup of these key equipments must be accomplished to improve network reliability and stability. How to realize network routing redundancy and load balancing by the HSRP technique is particularly described in this article.
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Multi-parameter Multi-objective Algorithm to Solve VRP,First of all, the paper simply describes the VRP (Vehicle Routing Problem), and systematically describes the classification of the “ant colony algorithm and logistics solutions”. Finally, this article details the multi-parameter multi-objective algorithm and program design.
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Task Scheduling in AD Hoc Network Positioning System Using Ant Colony Optimization,has been shown to be NP complete in general case and also in several restricted cases. The paper introduces a novel framework for node scheduling problem based on Ant colony optimization (ACO). The performance of the algorithm is demonstrated by a Matlab program for producing effective schedules for random node sets.
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