Application of Modified Artificial Fish Swarm Algorithm for Optimizing Association Rule Mining

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Provided by: Creative Commons
Topic: Data Management
Format: PDF
In this paper, the authors present a Modified artificial Fish Swarm Algorithm (MFSA) which has many benefits that includes higher convergence rate, flexibility, fault tolerance and high accuracy. General behaviors systems of standard AFSA are: prey, follow, and swarm. From the experimental results, they can say that their proposed system such as the optimized by Modified AFSA (MFSA) is better than that of PSO (Particle Swarm Optimization) algorithm. Obviously, the feasibility of MAFSA based optimization method and the better global search capability of the AFSA have been proved.
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