Based on the immune algorithm, an adaptive immune algorithm is proposed.
基于免疫算法的基本原理，提出了一种自适应免疫算法。
Based on the algorithm for clonal selection theory of artificial immune algorithm.
该算法为基于克隆选择原理的人工免疫算法。
An immune algorithm based on parthenogenetic operators is proposed for solving the model.
构造出一种基于单亲遗传算子的免疫算法用于求解此模型。
This paper proposed to use immune algorithm based on real-number-coding to extract quadric surface.
提出了基于实数编码免疫算法针对离散数据点进行二次曲面提取的方法。
In this paper, all of our work surrounds the applications of immune algorithm in cellular wireless location.
本论文的所有工作都是围绕着免疫算法在蜂窝网无线定位技术中的应用展开的。
To address the optimization problem, a modified artificial immune algorithm was developed.
针对这一优化问题，设计了一种人工免疫算法。
The immune algorithm has better global convergence and very strong self-adaptive ability to the environment.
免疫算法具有较好的全局收敛性和很强的自适应环境的能力。
A new method of fault diagnosis for analog circuits based on fuzzy-immune algorithm was proposed in the paper.
对模糊免疫算法应用于模拟电路故障诊断进行了研究。
This paper proposes a novel affinity based on group match to apply immune algorithm to vehicle routing problem.
将免疫算法用于求解车辆路径问题，并根据车辆路径问题的具体情况提出了一种基于分组匹配的亲和力计算方法。
An improved immune algorithm is put forward and applied for nonlinear optimization in cellular wireless location.
本文提出了一种改进的免疫算法，对蜂窝网络无线定位估计中的非线性优化问题进行求解。
Based on the immune algorithm, an optimizing method is presented which is used to search the weights of B-P network.
提出了一种基于免疫算法的B -P网络权值设计方法，用于实现B - P网络权值空间的搜索。
As an elementary attempt, the modern immune algorithm (IA) is employed to tackle the quantitative crack identification.
对现代免疫算法在裂纹定量辩识上的应用进行了初步的尝试。
This paper proposes a novel affinity based on group match to apply immune algorithm to vehicle routing problem with time Windows.
将免疫算法用于求解车辆路径问题，并根据车辆路径问题的具体情况提出了一种基于分组匹配的亲和力计算方法。
The paper proposed an immune algorithm based on the mechanism exhibited in biological immune clone selection and the immune network theory.
提出一种基于生物免疫系统克隆选择机理和免疫网络理论的免疫算法。
A two-level learning method combining improved immune algorithm and least square method was proposed to design a radial basis function (RBF) network.
结合改进的免疫算法和最小二乘法，提出了一种设计径向基函数(RBF)网络的两级学习方法。
In solving global optimization, immune algorithm is usually weak in local search, while evolutionary diffusion optimization is weak in global search.
在求解全局优化问题时，通常免疫算法、进化扩散算法分别在局部搜索和全局搜索方面表现较弱。
Then simulating the antigen identify of organism, immune response and other actual immune behavior, a new artificial immune algorithm is put forward.
在此基础上，模拟生物体的抗原识别、免疫应答等实际免疫行为，提出一种新的人工免疫算法。
On the basis of immune algorithm, the authors propose a new method of text categorization called clonal selection algorithm based on antibody density.
借鉴了免疫系统的分类本质以及免疫系统的克隆选择和抗体浓度控制原理，提出了基于抗体浓度的克隆选择算法。
This article chooses the immune algorithm as the basic method to resolve the problem and USES Monte Carlo simulation to transform the risk restriction.
本文选择了免疫算法作为基本算法求解模型，并使用蒙特卡罗方法对风险约束进行转化。
A hybrid RBF training method based on immune algorithm and least square method is proposed and applied in radar antenna scanning-style recognition system.
采用一种基于免疫算法和最小二乘法的两级学习方法设计径向基函数（RBF）网络，并将其应用于雷达天线扫描方式识别系统。
Aiming at the slow convergence problem of clonal selection algorithm, this paper proposes an adaptive parallel immune algorithm with orthomutation (APIA).
针对克隆选择算法收敛速度较慢的问题，对算法策略进行研究，提出了一种基于定向突变的自适应并行免疫算法（APIA）。
Correctness and validity of the neural network object forecast algorithm and immune algorithm with evaluated antigen are tested by the simulation of varies examples.
通过对不同情况算例的仿真，验证了神经网络目标预测算法和基于抗原进化免疫算法的正确性和有效性。
However, comparing with other intelligent algorithms, immune algorithm also owns some disadvantage, like premature convergence and poor ability in local optimization.
然而，类似于其它新型智能算法，人工免疫算法也存在一些不足，如存在早熟收敛、局部搜索能力不足等。
The research results show that the adaptive immune algorithm of the Pearl curve has superiority and effectiveness for intellectuality prediction of tunnel engineering.
研究结果显示，基于皮尔曲线的自适应免疫算法在隧道工程智能预测应用中的优越性和实用性。
The equalizer is constructed with decision feedback structure, and an immune algorithm is used to determine the structure and parameters of RBF nonlinear hidden layer.
这种均衡器引入了判决反馈均衡器的结构，并采用免疫算法确定RBF网络隐层（非线性层）的结构和参数。
The experiment results show that the immune-ant algorithm has more advantages than immune algorithm and ant algorithm. And it improves the efficiency of routing greatly.
实验结果表明：免疫——蚂蚁算法表现出了超越免疫算法和蚂蚁算法的优点，大幅度提高了路由选择的效率。
A new method, which combines the adaptive immune algorithm (AIA) with predictor-corrector interior point method, was presented for the reactive power optimization of power system.
在分析原-对偶内点法和连续性潮流方法计算系统输电能力各自优缺点的基础上，将两者结合，提出了一种系统输电能力的综合计算方法。
A new method, which combines the adaptive immune algorithm (AIA) with predictor-corrector interior point method, was presented for the reactive power optimization of power system.
在分析原-对偶内点法和连续性潮流方法计算系统输电能力各自优缺点的基础上，将两者结合，提出了一种系统输电能力的综合计算方法。
应用推荐