叙述了免疫算法的数学模型和基本步骤。
The mathematic model and basic procedure of immune of immune algorithm were stated.
该算法为基于克隆选择原理的人工免疫算法。
Based on the algorithm for clonal selection theory of artificial immune algorithm.
免疫算法已开始成为计算智能研究的一个热点。
Immune algorithm has become a hotspot in the area of computational intelligence.
论文将思维进化算法和免疫算法二者有机结合。
Mind Evolutionary Algorithm is organically combined with Immune Algorithm.
首先,提出一种自适应免疫算法,并用于多用户检测。
Firstly, put forward the Adaptive Immune Algorithm and put it in multi-user detection.
免疫算法是模拟生物免疫系统功能的一种智能学习算法。
Immune algorithm is a kind of intelligent learning algorithm which simulates the biology immunity systems.
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 immune algorithm, an adaptive immune algorithm is proposed.
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。
An immune algorithm based on parthenogenetic operators is proposed for solving the model.
提出利用免疫算法确定网络数据属性的权重值的设计方法。
To determine weight of network data attributes using immune algorithms is proposed.
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。
The immune algorithm has better global convergence and very strong self-adaptive ability to the environment.
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。
The paper proposed an immune algorithm based on the mechanism exhibited in biological immune clone selection and the immune network theory.
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。
This paper proposed to use immune algorithm based on real-number-coding to extract quadric surface.
免疫算法是一种生物进化原理、最优化技术和计算机技术相结合的全新算法。
Immune algorithm is a completely new method band together with the principle of life-form evolution, optimization technique and computer technique.
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。
In this paper, all of our work surrounds the applications of immune algorithm in cellular wireless location.
论文借鉴免疫反应机理,提出一种用于求解动态环境下函数优化问题的免疫算法。
In this paper, an optimization algorithm for time-varied functions optimization referring to immune optimization mechanism is presented.
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。
This article chooses the immune algorithm as the basic method to resolve the problem and USES Monte Carlo simulation to transform the risk restriction.
免疫算法是模拟生物免疫系统功能的一种智能优化算法,具有解决复杂工程问题的潜力。
Immune algorithm is a kind of intelligent optimization algorithm which simulates the biology immunity system, and has potential to provide novel method for solving problem.
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。
An improved immune algorithm is put forward and applied for nonlinear optimization in cellular wireless location.
将免疫算法与神经网络理论相结合,提出了免疫神经网络预报模型,以预报油库油气浓度。
A immune algorithm neural network model for predicting oil gas is presented by means of combining immune algorithm with neural network theory.
给出了一种基于高斯变异与自适应克隆规模控制相结合的免疫算法的天线方向图综合方法。
An adaptive immunity algorithm is presented, which USES both Gauss mutation and the adaptive clone scale control.
分析了车式移动机器人的运动特性,设计了一种适用于该机器人的路径发现与规划免疫算法。
This paper analyzes the moving characteristic of the car like moving robot. And the immunity algorithm to solve the moving path finding and optimizing is designed.
经实例验证表明,优化免疫算法具有良好的搜索性能,是解决机组优化组合问题的有效方法。
An example was tested and showed immune algorithm has good searching performance, and it is efficient for solving unit commitment problem compared with other optimization algorithms.
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 research results show that the adaptive immune algorithm of the Pearl curve has superiority and effectiveness for intellectuality prediction of tunnel engineering.
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。
A two-level learning method combining improved immune algorithm and least square method was proposed to design a radial basis function (RBF) network.
剖析了电梯交通的动态分区模型,设计了动态分区模型的人工免疫算法,并对之做了比较仿真研究。
In this paper, the dynamic zoning model of elevator traffic was clearly outlined, and the artificial immune algorithm for the dynamic zoning model was designed.
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。
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。
Based on the immune algorithm, an optimizing method is presented which is used to search the weights of B-P network.
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