Description: 摘要本文首先分析了自适应调制的原理, 它以频谱效率最高为准则, 在恒定功率约束条件下对接收信噪
比优化来选择不同调制阶数。然后引入时变多径信道模型, 通过仿真给出了自适应在此信道条件下的性能, 并分析
了信道估计误差对其性能的影响。
关键词自适应调制, 调制, 时变信道-Abstract This paper first analyzes the principle of adaptive modulation, spectral efficiency it up to standards, in the constant power constraint condition to receive a letter under the noise
Optimization to select different modulation than the order of. Then the introduction of time-varying multi-path channel model is given by simulation of adaptive channel conditions in this performance, and analyze the
The channel estimation error on their performance.
Key words adaptive modulation, modulation, time-varying channel Platform: |
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Author:yanyan |
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Description: 为了有效检测多目标优化进化算法的性能，从3 个方面进行多目标优化测试问题的设计，即约束条件、最优解分布的均匀性、算
法逼近Pareto 最优前沿的难度，采用NSGA-Ⅱ算法对这些测试问题进行仿真实验，并将算法求得的最优解可视化。结果显示，测试问题能够有效检测算法在上述3 方面的性能。-In order to effectively detect the multi-objective optimization evolutionary algorithm performance, from the three aspects of multi-objective optimization test problems of design, that constraint, the uniformity of the optimal solution, Pareto optimal front approximation algorithm of the difficulty of algorithm using NSGA-Ⅱ test questions on these simulations, and obtained the optimal solution algorithm visualization. The results show that the problem can be effectively tested in the above-mentioned three aspects of detection algorithm performance. Platform: |
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Author:cdong |
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Description: 一个基于阈值的粒子比较准则，用于处理多目标约束优化问题,该准则可以保留一部分序值较小且约束违反度在允许范围内的不可行解微粒,从而达到由不可行解向可行解进化的目的；一个新的拥挤度函数,使得位于稀疏区域和Pareto前沿边界附近的点有较大的拥挤度函数值,从而被选择上的概率也较大 从而构成解决多目标约束优化问题的混合粒子群算法。-A comparison based on the threshold criteria for the particle to handle multi-objective constrained optimization problem, part of the guidelines can keep order value is small and the constraint violation in allowing infeasible solutions within the particles, so as to achieve a feasible solution to the infeasible solution The purpose of evolution a new function of crowding, making the Pareto front in the sparse region and near the border points have a greater value of the congestion function, which is the larger the probability of selection so as to constitute solve multi-objective constrained optimization problems hybrid particle swarm algorithm. Platform: |
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Author:李洪 |
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Description: Parsopoulos等采用罚函数法，利用非固定多段映射函数对约束优化问题进行转化，再利用PSO算法求解转化后问题，仿真结果显示PSO算法相对遗传算法更具有优越性，但其罚函数的设计过于复杂，不利于求解；Hu等采用可行解保留政策处理约束，即一方面更新存储中所有粒子时仅保留可行解，另一方面在初始化阶段所有粒子均从可行解空间取值，然而初始可行解空间对于许多问题是很难确定的；Ray等提出了具有多层信息共享策略的粒子群原理来处理约束，根据约束矩阵采用多层Pareto排序机制来产生优良粒子，进而用一些优良的粒子来决定其余个体的搜索方向。
-Parsopoulos etc. penalty function method, the use of non-fixed multi-stage mapping function constrained optimization problem for transformation, reuse PSO algorithm for solving the problem after the conversion, the simulation results show that the relative genetic algorithm PSO algorithm has more advantages, but its design is too complicated penalty function is not conducive to solving Hu retention policies such as the use of feasible solutions processing constraints, on the one hand to retain only feasible solution when updating the store all particles, on the other hand all the particles are in the initialization phase values from the feasible solution space, however, the initial feasible solution space For many the problem is difficult to determine Ray and put forward the principle of a multi-layer particle swarm information sharing strategies to deal with constraints, according to the constraint matrix using multi Pareto superior sorting mechanism to generate partic Platform: |
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Author:朱坤鸿 |
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Description: 基于matlab的带传动多目标优化设计的目标函数文件和多目标优化设计的约束函数文件-Optimized design constraint file matlab function of belt drive multi-objective optimization design of the objective function and multi-objective-based file Platform: |
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Author:chenyuwuqi |
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Description: 用多目标粒子群优化来求解多目标优化问题，该方法可求解各种多目标问题。程序内包含多种测试函数，和适应度函数求解程序及目标函数和约束函数的具体程序说明。-Multi-objective particle swarm optimization to solve the multi-objective optimization problem which can be solved a variety of multi-objective problem. Specific procedures within the program includes a variety of test functions, and fitness function solver and objective function and constraint functions described. Platform: |
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Author:雪缦 |
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Description: 猜数字游戏
能够随机出现十以内的数字
。。。。。(In this paper, the multi-objective structural optimization design of torque converter is introduced with the application of genetic algorithm. The main optimization criteria are torque ratio, efficiency, permeability and a series of high efficiency. 16 variables are chosen as the main optimization parameters. Among them are: the core diameter and the cross section parameters, the blade angle and other core and shell. The range of values of these variables is obtained from the prototype analysis of the structure. A mathematical model based on multi streams is adopted. A torque converter ph410 is provided for hydrodynamic calculation. Provides a parameter sub optimal for the group used as a basis for further consideration of the results of these calculations. In addition, the influence of the range constraint on the optimization parameters is analyzed. The difference is great) Platform: |
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Author:jeremyleo
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Description: 针对冷热电联供型微网中的负荷类型建立能量平衡约束条件。冷热电联供型多微网和主动配电网作为两个不同的利益主体，采用分布式建模方法，建立不同的经济优化目标，联络线电功率作为两者的耦合变量，等效为虚拟负荷和虚拟电源实现冷热电联供型多微网主动配电系统优化模型的并行求解。天津中新生态城的算例表明冷热电联供
型多微网主动配电系统优化经济调度是有效的，能够实现两个利益主体的经济最优。(The energy balance constraint conditions are established for the load types of CCHP. As two different stakeholders, the cold, heat and power co-generation multi-micro-grid and the active distribution network adopt the distributed modeling method to establish different economic optimization objectives. The tie-line power is the coupling variable of the two and is equivalent to the virtual load and the virtual power to realize the optimization model of the cold, heat and power co-generation multi-micro-grid active distribution system. Parallel solution. The example of Tianjin new China eco city shows the combined cooling heating and power system.) Platform: |
Size: 703488 |
Author:阿飞之父 |
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Search - multi-constraint optimization