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A novel Quantum-behaved Particle Swarm Optimization Algorithm with comprehensive learning and cooperative learning approach (CCQPSO) was introduced to improve the global convergence property of QPSO. In the proposed algorithm, the updating method of local attractor, particle's previous best position and swarm's global best position were performed in each dimension of the solution vector to avoid loss some components that had moved closer to the global optimal solution in the vector. Then thedoi:10.4156/aiss.vol4.issue22.46 fatcat:it3d2jbzsrdy3lq3jwz7a33mgy