Mapping of three-dimensional network on chip is a key problem in the research of three-dimensional network on chip. The quality of the mapping algorithm used di- rectly affects the communication efficiency between IP ...Mapping of three-dimensional network on chip is a key problem in the research of three-dimensional network on chip. The quality of the mapping algorithm used di- rectly affects the communication efficiency between IP cores and plays an important role in the optimization of power consumption and throughput of the whole chip. In this paper, ba- sic concepts and related work of three-dimensional network on chip are introduced. Quantum-behaved particle swarm op- timization algorithm is applied to the mapping problem of three-dimensional network on chip for the first time. Sim- ulation results show that the mapping algorithm based on quantum-behaved particle swarm algorithm has faster con- vergence speed with much better optimization performance compared with the mapping algorithm based on particle swarm algorithm. It also can effectively reduce the power consumption of mapping of three-dimensional network on chip.展开更多
基于涡轴发动机的非线性模型,采用阶跃响应法建立状态参数与控制量的线性关系———推进系统矩阵(Propulsion system matrix,PSM)。根据发动机安全工作要求以及执行机构物理性质得到优化约束条件,建立涡轴发动机最大输出功率模式和最小...基于涡轴发动机的非线性模型,采用阶跃响应法建立状态参数与控制量的线性关系———推进系统矩阵(Propulsion system matrix,PSM)。根据发动机安全工作要求以及执行机构物理性质得到优化约束条件,建立涡轴发动机最大输出功率模式和最小耗油率模式性能寻优问题的数学模型。提出一种新的基于距离的自适应惯性权重粒子群改进算法,对两种模式进行性能寻优。仿真结果表明,所提出的改进粒子群应用于发动机性能寻优具有较好的优化效果。展开更多
文摘Mapping of three-dimensional network on chip is a key problem in the research of three-dimensional network on chip. The quality of the mapping algorithm used di- rectly affects the communication efficiency between IP cores and plays an important role in the optimization of power consumption and throughput of the whole chip. In this paper, ba- sic concepts and related work of three-dimensional network on chip are introduced. Quantum-behaved particle swarm op- timization algorithm is applied to the mapping problem of three-dimensional network on chip for the first time. Sim- ulation results show that the mapping algorithm based on quantum-behaved particle swarm algorithm has faster con- vergence speed with much better optimization performance compared with the mapping algorithm based on particle swarm algorithm. It also can effectively reduce the power consumption of mapping of three-dimensional network on chip.
文摘基于涡轴发动机的非线性模型,采用阶跃响应法建立状态参数与控制量的线性关系———推进系统矩阵(Propulsion system matrix,PSM)。根据发动机安全工作要求以及执行机构物理性质得到优化约束条件,建立涡轴发动机最大输出功率模式和最小耗油率模式性能寻优问题的数学模型。提出一种新的基于距离的自适应惯性权重粒子群改进算法,对两种模式进行性能寻优。仿真结果表明,所提出的改进粒子群应用于发动机性能寻优具有较好的优化效果。
