An optimized quantum particle swarm algorithm based on the D-dimensional hyper-chaotic discrete system equation
作者： Li Yangjun , Jin Yan Xia , Wang Gao
DOI: 10.1109/ICCASM.2010.5622858
关键词:
摘要: Particle swarm optimization (PSO) is a population-based intelligence algorithm inspired by social behavior patterns of organisms that research on such as fish schooling and bird flocking. This essay presents new Quantum-behaved PSO (QPSO) using hyper-chaotic discrete system equation, h-QPSO. The simulation results the classical function have demonstrated h-QPSO superior to quantum in its performance.
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