MQPSO:Quantum-behaved Particle Swarm Optimization Based on Multi-swarm and Multi-phase Algorithm
MQPSO: 一种具有多群体与多阶段的QPSO算法*

This paper introduced a improved Quantum-behaved Particle Swarm Optimization Algorithm,Multi-swarm and Multi-phase Quantum-behaved Particle Swarm Optimization(MQPSO).In this algorithm,it divides the whole particle swarm into different groups and searchs in different phases.It avoids particle prematurity and improves global search performance.The results of several improtant test functions confirm that the convergent performance of MQPSO outperforms Particle Swarm Optimization(PSO) algorithm and Quantum-behaved Particle Swarm Optimization algorithm.