关键词: 粒子群优化, 量子行为, 邻域拓扑, 轮形结构

Abstract: In this paper，we introduce a concept of neighbourhood topology into the Quantum-behaved Particle Swarm Optimization（QPSO） algorithm in order to ensure the diversity of the swarm and improve the algorithm’s global search ability.We adopt the Wheel Topology and propose the Quantum-behaved Particle Swarm Optimization with Neighbourhood Operator（NQPSO）.Finally，the performance of NQPSO algorithm is compared with those of Standard PSO（SPSO） and original QPSO by testing the algorithms on several benchmark functions.The experiments results show that NQPSO algorithm outperforms due to its strong global search ability，particularly in the optimization problems with high dimension.

Key words: particle swarm optimization, quantum-behaved, neighbourhood topology, wheel topology