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Research on Multi-sensor and Multi-target Data Association Problem

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Advances in Intelligent, Interactive Systems and Applications (IISA 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 885))

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Abstract

For problems on multi-target data association, the shortest route in the multi-target data association has been redefined on the basis of Ant Colony Algorithm, which is combined with Genetic Algorithm. Genetic Algorithm has been used to direct pheromone variation of ant colony, to have it convergent more quickly. Finally, a large number of experiments have been done to prove effectiveness of algorithms.

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References

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Authors and Affiliations

  1. College of Humanities & Sciences of Northeast Normal University, Changchun, 130117, China

    Fu Shuai

Authors
  1. Fu Shuai
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Correspondence to Fu Shuai .

Editor information

Editors and Affiliations

  1. Department de Ciències de la Computació, Universitat Politècnica de Catalunya, Barcelona, Spain

    Fatos Xhafa

  2. Department of Computer Science and Engineering, Faculty of Engineering and Technology, SOA University, Bhubaneswar, Odisha, India

    Srikanta Patnaik

  3. Department of Business Systems and Analytics, La Salle University, Philadelphia, PA, USA

    Madjid Tavana

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Shuai, F. (2019). Research on Multi-sensor and Multi-target Data Association Problem. In: Xhafa, F., Patnaik, S., Tavana, M. (eds) Advances in Intelligent, Interactive Systems and Applications. IISA 2018. Advances in Intelligent Systems and Computing, vol 885. Springer, Cham. https://doi.org/10.1007/978-3-030-02804-6_8

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