Computer Science ›› 2010, Vol. 37 ›› Issue (5): 219-222.
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SHAG Zeng-zhen,WANG Hong-guo,LIU Hong
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Abstract: A novel Symmetrical PSO algorithm (SymPSO_HD) was proposed to improve the search ability of PSO algorithm. To initialize the cluster effectively, population scatter entropy strategy was introduced. In order to improve the particle's position vector, a special kind of particle characterized by detection was proposed too. And to enhance the partide's learning ability both in local and global domain, we put forward the clone-mutation-selection strategy in neighborhood and the dimensionality reduction symmetrical strategy in global area. Simulation and analysis show that SymPSO_HD algorithm has stable search ability and strong adaptability, and can converge to the global optimum with large probability.
Key words: Dimensionality reduction symmetrical PSO, Population scatter entropy, Heuristic detection, Clone and mutation
SHAG Zeng-zhen,WANG Hong-guo,LIU Hong. Dimensionality Reduction Symmetrical PSO Algorithm Characterized by Heuristic Detection and Self-learning[J].Computer Science, 2010, 37(5): 219-222.
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