In recent years, the prices of primary energy especially coal continue to increase rapidly. This results in a substantial decline of profits and more operating difficulties in the downstream electric enterprises. The ...In recent years, the prices of primary energy especially coal continue to increase rapidly. This results in a substantial decline of profits and more operating difficulties in the downstream electric enterprises. The listed companies in both coal supply and power industries have quality assets and are the representatives of these industries. Through the analysis of the financial and operational status of the listed coal supply and power companies since 2007, the reasons for the business development difficulties in the electric power industry were discussed. Recommendations were provided including improving the coal pricing system, increasing the degree of business integration of the coal and electric power industries, and adjusting energy structure.展开更多
Parameter adjustment that maximizes the energy efficiency of cognitive radio networks is studied in this paper where it can be investigated as a complex discrete optimization problem. Then a quantum-inspired bacterial...Parameter adjustment that maximizes the energy efficiency of cognitive radio networks is studied in this paper where it can be investigated as a complex discrete optimization problem. Then a quantum-inspired bacterial foraging algorithm(QBFA)is proposed. Quantum computing has perfect characteristics so as to avoid local convergence and speed up the optimization of QBFA. A proof of convergence is also given for this algorithm.The superiority of QBFA is verified by simulations on three test functions. A novel parameter adjustment method based on QBFA is proposed for resource allocation of green cognitive radio. The proposed method can provide a globally optimal solution for parameter adjustment in green cognitive radio networks. Simulation results show the proposed method can reduce energy consumption effectively while satisfying different quality of service(Qo S)requirements.展开更多
文摘In recent years, the prices of primary energy especially coal continue to increase rapidly. This results in a substantial decline of profits and more operating difficulties in the downstream electric enterprises. The listed companies in both coal supply and power industries have quality assets and are the representatives of these industries. Through the analysis of the financial and operational status of the listed coal supply and power companies since 2007, the reasons for the business development difficulties in the electric power industry were discussed. Recommendations were provided including improving the coal pricing system, increasing the degree of business integration of the coal and electric power industries, and adjusting energy structure.
基金supported by the National Natural Science Foundation of China(61102106)the China Postdoctoral Science Foundation(2013M530148)+1 种基金the Heilongjiang Postdoctoral Fund(LBH-Z13054)the Fundamental Research Funds for the Central Universities(HEUCF140809)
文摘Parameter adjustment that maximizes the energy efficiency of cognitive radio networks is studied in this paper where it can be investigated as a complex discrete optimization problem. Then a quantum-inspired bacterial foraging algorithm(QBFA)is proposed. Quantum computing has perfect characteristics so as to avoid local convergence and speed up the optimization of QBFA. A proof of convergence is also given for this algorithm.The superiority of QBFA is verified by simulations on three test functions. A novel parameter adjustment method based on QBFA is proposed for resource allocation of green cognitive radio. The proposed method can provide a globally optimal solution for parameter adjustment in green cognitive radio networks. Simulation results show the proposed method can reduce energy consumption effectively while satisfying different quality of service(Qo S)requirements.
