Journal of Northeastern University(Natural Science)

Journal of Northeastern University ›› 2004, Vol. 25 ›› Issue (10): 934-937.DOI: -

• OriginalPaper • Previous Articles     Next Articles

Particle swarm optimization approach of solving communication optimization problems

Yuan, Ping (1); Wang, Guang-Xing (1); Zhang, Yang-Yang (1)   

  1. (1) Sch. of Info. Sci. and Eng., Northeastern Univ., Shenyang 110004, China
  • Received:2013-06-24 Revised:2013-06-24 Online:2004-10-15 Published:2013-06-24
  • Contact: Yuan, P.
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Abstract: Briefly introduces the principle, procedure and relevant parameters of the particle swarm optimization approach. Then, a multiobjective particle swarm optimization or divided range multiobjective particle swarm optimization (DRMPSO) based on distributed computation is presented to solve the base station placement problem. The simulation results indicate the effectiveness of DRMPSO and it is convincible that DRMPSO is an efficient way to solve other problems in communications, such as channel assignment, network topological design, IP multicast, Ad hoc networks clustering, WLAN multicast.

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