Information Technology Journal1812-56381812-5646Asian Network for Scientific Information10.3923/itj.2011.2315.2321GaoHongyuan CaoJinlong DiaoMing 1220111012In order to solve discrete optimization problem, present study proposes a novel Quantum-inspired Particle Swarm Optimization (QPSO) based on particle swarm optimization and quantum evolutionary theory and we evaluate the performance of the QPSO through some classical benchmark functions. The proposed QPSO algorithm applies the quantum computing theory to particle swarm optimization and thus has the advantages of both quantum computing theory and particle swarm optimization. We also use it to solve cognitive radio spectrum allocation problem. The new spectrum allocation method has the ability to search global optimal solution under different network utility functions. Simulation results for cognitive radio system are provided to show that the designed spectrum allocation algorithm is superior to some previous spectrum allocation algorithms.]]>Kennedy, J. and R.C. Eberhart,19971997pp: 41044108Yuan, D.L. and Q. Chen,201021431Hijazi, S.L. and B. Natarajan,2004319391943Zhao, Y. and J.L. Zheng,200444840842Zhu, L., Q. Zhu, X. Xu and R. Deng,20072007pp: 942945Jiao, L., Y. Li, M. Gong and X. Zhang,20083812341253Han, K. and J. H. Kim,2000213541360Han, K.H., K.H. Park, C.H. Lee and J.H. Kim,2001214421449Li, B. and Z.Q. Zhuang,20022002pp: 500505Yang, J.A., B. Li and Z. Zhuang,2003206268Gao, H. and M. Diao,20092009pp: 132136Haykin, S.,200523201220Nie, N. and C. Comaniciu,20052005pp: 269278Huang, J., R. Berry and M.L. Honig,200611405418Cao, L. and H. Zheng,20052005pp: 475486Zheng, H. and C. Peng,2005531323136Peng, C., H. Zheng and B.Y. Zhao,200611555576Zhao, Z.J., Z. Peng, S. Zheng and J. Shang,2009844214425Zhao, Z.J., Z. Peng, S.L. Zheng, S.Y. Xu, C.Y. Lou and X.N. Yang,20095213581363