The Journal of China Universities of Posts and Telecommunications ›› 2020, Vol. 27 ›› Issue (3): 1-20.doi: 10.19682/j.cnki.1005-8885.2020.0012

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Research on swarm intelligence optimization algorithm

Fei Wei1,Liu /Cong1,1,Hu /Sheng   

  • Received:2019-09-23 Revised:2019-12-13 Online:2020-06-24 Published:2020-08-30
  • Contact: Liu /Cong
  • Supported by:
    Science and Technology Research Program of Hubei Provincial Department of Education.; National Natural Science Foundation of China

Abstract: The bionics-based swarm intelligence optimization algorithm is a typical natural heuristic algorithm whose goal is to find the global optimal solution of the optimization problem. It simulates the group behavior of various animals and uses the information exchange and cooperation between individuals to achieve optimal goals through simple and effective interaction with experienced and intelligent individuals. This paper first introduces the principles of various swarm intelligent optimization algorithms. Then, the typical application of these swarm intelligence optimization algorithms in various fields is listed. After that, the advantages and defects of all swarm intelligence optimization algorithms are summarized. Next, the improvement strategies of various swarm intelligence optimization algorithms are explained. Finally, the future development of various swarm intelligence optimization algorithms is prospected.

Key words: bionics, natural heuristic algorithm, swarm intelligence algorithm, intelligent computing

CLC Number: