An artificial fish swarm algorithm with two regions model was proposed. The algor ithm used a multicast tree formed by the predecessor orientation method to represent an ar tificial fish, and divided the search space into feasible re-gion and infeasible region. The artificial fishes in the feasible region and the infeasible region were given different mov-ing objectives, respectively. The behavior operator was designed to adaptively implement four behaviors of artificial fish. Experimental results show that the proposed algorithm can ef fectively make use of the in feasible individuals and per-forms better in searching least-cost multicast tree with delay constraint.

123\基于人工鱼群算法的多播树演化寻优.pdf
123

• We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
• The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
• Please use Winrar for decompression tools
• If download fail, Try it againg or Feedback to us.
• If downloaded content did not match the introduction, Feedback to us，Confirm and will be refund.
• Before downloading, you can inquire through the uploaded person information

Nothing．