Parallel Genetic Algorithm is an important branch of Evolutionary Computing and more and more AI specialists pay attention to it because of its simplified topologies and robust search a-bility. In this paper, we discu...Parallel Genetic Algorithm is an important branch of Evolutionary Computing and more and more AI specialists pay attention to it because of its simplified topologies and robust search a-bility. In this paper, we discussed theoretic and application achievement of Parallel Genetic Algorithm ,analyzed their advantage and disadvantage ,and point out its future research direction.展开更多
In this paper, a mathematical model consisting of forward and backward models is built on parallel genetic algorithms (PGAs) for fault diagnosis in a transmission power system. A new method to reduce the scale of faul...In this paper, a mathematical model consisting of forward and backward models is built on parallel genetic algorithms (PGAs) for fault diagnosis in a transmission power system. A new method to reduce the scale of fault sections is developed in the forward model and the message passing interface (MPI) approach is chosen to parallel the genetic algorithms by global sin-gle-population master-slave method (GPGAs). The proposed approach is applied to a sample system consisting of 28 sections, 84 protective relays and 40 circuit breakers. Simulation results show that the new model based on GPGAs can achieve very fast computation in online applications of large-scale power systems.展开更多
文章分别介绍了基于查找表法和CORDIC(COordination Rotation DIgital Computer)法实现的数控振荡器的优点和缺点,并推导了CORDIC算法产生正余弦信号的实现过程。综合它们各自的优点,实现一种混合算法的数控振荡器,最后将其运用FPGA技...文章分别介绍了基于查找表法和CORDIC(COordination Rotation DIgital Computer)法实现的数控振荡器的优点和缺点,并推导了CORDIC算法产生正余弦信号的实现过程。综合它们各自的优点,实现一种混合算法的数控振荡器,最后将其运用FPGA技术实现。Modelsim和quartusⅡ仿真和验证结果表明,此设计是可行的,并且易于FPGA实现。与仅仅基于查找表法实现的NCO相比,其结构更简单,精度高,耗费资源少,速度快。展开更多
文摘Parallel Genetic Algorithm is an important branch of Evolutionary Computing and more and more AI specialists pay attention to it because of its simplified topologies and robust search a-bility. In this paper, we discussed theoretic and application achievement of Parallel Genetic Algorithm ,analyzed their advantage and disadvantage ,and point out its future research direction.
基金the National Natural Science Foundation of China (No. 50677062)the New Century Excellent Talents in Uni-versity of China (No. NCET-07-0745)the Natural Science Foundation of Zhejiang Province, China (No. R107062)
文摘In this paper, a mathematical model consisting of forward and backward models is built on parallel genetic algorithms (PGAs) for fault diagnosis in a transmission power system. A new method to reduce the scale of fault sections is developed in the forward model and the message passing interface (MPI) approach is chosen to parallel the genetic algorithms by global sin-gle-population master-slave method (GPGAs). The proposed approach is applied to a sample system consisting of 28 sections, 84 protective relays and 40 circuit breakers. Simulation results show that the new model based on GPGAs can achieve very fast computation in online applications of large-scale power systems.
文摘文章分别介绍了基于查找表法和CORDIC(COordination Rotation DIgital Computer)法实现的数控振荡器的优点和缺点,并推导了CORDIC算法产生正余弦信号的实现过程。综合它们各自的优点,实现一种混合算法的数控振荡器,最后将其运用FPGA技术实现。Modelsim和quartusⅡ仿真和验证结果表明,此设计是可行的,并且易于FPGA实现。与仅仅基于查找表法实现的NCO相比,其结构更简单,精度高,耗费资源少,速度快。
