Fuzzy adaptive catfish particle swarm optimization

نویسندگان

  • Li-Yeh Chuang
  • Sheng-Wei Tsai
  • Cheng-Hong Yang
چکیده

The catfish particle swarm optimization (CatfishPSO) algorithm is a novel swarm intelligence optimization technique. This algorithm was inspired by the interactive behavior of sardines and catfish. The observed catfish effect is applied to improve the performance of particle swarm optimization (PSO). In this paper, we propose fuzzy CatfishPSO (F-CatfishPSO), which uses fuzzy to dynamically change the inertia weight of CatfishPSO. Ten benchmark functions with 10, 20, and 30 different dimensions were selected as the test functions. Statistical analysis of the experimental results indicates that F-CatfishPSO outperformed PSO, F-PSO and CatfishPSO.

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عنوان ژورنال:
  • Artif. Intell. Research

دوره 1  شماره 

صفحات  -

تاریخ انتشار 2012