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多目标遗传算法：NSGA和NSGA-II N. Srinivas and K. Deb, “Muiltiobjective Optimization Using Nondominated Sorting in Genetic Algorithms,” in Evolutionary Computation, vol. 2, no. 3, pp. 221-248, Sept. 1994, do

Logic Gate Characteristics The Tristate Gate Tristate gate, has three output states. An additional control input. The control input is at logical 1 the gate behaves as an ordinary logic gate. A

Programmable Logic A dedicated logic circuit will only perform the function it was designed to implement. A combinational circuit behaves according to its truth table, whereas a sequential circuit’s

Sequential Logic 2: Circuit Design Next State Feedback Logic The sequenctial logic circuit operating the external inputs and internal state, feedback to form internal inputs, which is called next st

多目标优化遗传算法综述 Multi-objective optimization using genetic algorithms: A tutorial. Abdullah Konak, et al. 帕累托最优理论 在数学上，多目标优化问题可以被公式化为如下表述： 如果多目标问题的每一种解都可以使用\(n\)维空间\(X\)中的一个的向量进行表示：\(\boldsymbol{x

并行遗传算法 A Survey of Parallel Genetic Algorithms, Erick Cantu-Paz. 并行化的基本思想是将一个任务分解为彼此独立而且可以同时解决的若干个子任务。遗传算法的执行流程具有潜在的可以将整个任务独立分解为多个独立子任务的特性，这样的性质称为隐式并行性。目前并行的遗传算法可以大致分为三类： 主从遗传算法(master-slave GA)

Sequential Logic 1: Types of Flip-Flops Sequential logic circuit A sequential logic system with feedback connections from the output called internal inputs. User cannot control the internal inputs.

Combinational Logic 2: Implementation using Digital Circuit Logical transformation To deal with the lack/limit of circuit components, the transformation are introduced. In implementation of circuit

阿里云ECS Windows Server实例文件共享 阿里云为云服务器Windows Server实例提供了两种共享文件的方式： 自带ECS云助手发送文件 FileZilla ECS云助手 使用自带的ECS云助手上传文件非常简单，只需要在ECS控制台中找到ECS云助手，找到对应的实例，点击发送文件选择要发送的文件即可。 这种方法不能批量发送文件，而且每次发送文件的大小限制

高性能计算平台 测试和评价 测试理论 浮点运算 高斯消元 Linpack Linpack是国际上使用最广泛的测试高性能计算机系统浮点性能的基准测试。通过对高性能计算机采用高斯消元法求解一元 N次稠密线性代数方程组的测试，评价高性能计算机的浮点计算性能。Linpack的结果按每秒浮点运算次数（flops）表示。 Linpack测试包括三类，Linpack100、Linpack1000和