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- AI-NN-PR
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- 821kb
- Update:
- 2013-01-15
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- yeyewa
Description: 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.
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