Interactive Swarm Intelligence Algorithm Based on Master-Slave Gaussian Surrogate Model

  • Jing Jie
  • Lei Zhang
  • Hui ZhengEmail author
  • Le Zhou
  • Shengdao Shan
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10956)


An interactive swarm intelligence algorithm based on master-slave Gaussian surrogate model (ISIA-MSGSM) is proposed in this paper. In the algorithm, particle swarm optimization is used to act on the optimization search. During the search process, some data are sampled dynamically from the searching swarm to build the master and the slave Gaussian surrogate model, and all the particles will go through interactive evaluations based on the two kinds of surrogate models and the accurate model, which can reduce the computation cost of the objective function. At the same time, the surrogate models are managed dynamically guided by the accurate model to ensure the computational accuracy. Through the dynamical update to the master and slave model, the balance between the global exploration and the local exploitation is ensured which contributes to the efficiency of the algorithm. The experiment results on benchmark problems show this method not only can decrease the computation cost, but also has good robustness with a satisfied optimization performance.


Intelligence computation Swarm intelligence Particle swarm optimization Surrogate model 



This work was supported in part by NSFC-Zhejiang Joint Fund for the Integration of Industrialization and Information (No.U1609214), National Natural Science Foundation of China (No.61203371), Zhejiang Provincial Natural Science Foundation (No.LQ16F030002), and Zhejiang Provincial New seedling talent program (No. 0201310H35).


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Jing Jie
    • 1
  • Lei Zhang
    • 1
  • Hui Zheng
    • 1
    Email author
  • Le Zhou
    • 1
  • Shengdao Shan
    • 1
  1. 1.Zhejiang University of Science and TechnologyHangzhou CityPeople’s Republic of China

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