研究了容量约束下的小区面积，给出了免疫优化算法框架，并与文献算法进行了对比实验。
The cell area subject to cell capacity is expounded, the framework of immune optimization algorithm is given, and simulation experiments are done to validate algorithm.
与其他免疫优化算法的对比仿真结果表明其不但具有较快的收敛速度和较好的稳定性，而且优化效果更为令人满意。
The result of simulation indicates that not only the algorithm has quick constringency speed and better stability, but also the result of optimizing is more satisfactory.
本文在建立物流配送车辆优化调度数学模型的基础上，构造了求解该问题的免疫算法，并进行了实例计算。
On the basis of establishing the optimizing model on logistic vehicle routing problem, this paper presents a Immune algorithm for saving this problem, and makes some experimental calculations.
论文利用免疫系统的克隆选择机制，提出一种用于函数优化的改进克隆选择算法。
In this paper, the clonal selection mechanism of the immune system is used and modified to introduce an advanced algorithm to optimize functions.
并行免疫算法的应用研究将有助于其他组合优化问题的解决。
The research of the Parallel Immune Algorithm application will help to solve other combinatorial optimization problems.
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.
免疫算法已在很多领域得到了成功的应用，如病毒清除和入侵监控、函数优化、TSP问题、数据分析和挖掘、故障诊断等。
Immune algorithm has been successful in many fields, such as virus removal and invasive monitoring, function optimization, TSP problem, data analysis and mining, fault diagnosis.
为了解决车间调度NP组合优化的难题，提出了基于免疫遗忘的车间调度算法。
In order to solve NP - shop scheduling combinatorial optimization problems, an immune forgotten algorithm for job shop scheduling is proposed.
针对模糊神经网络控制器难于设计的问题，提出了一种免疫进化算法用于径向基函数模糊神经网络控制器参数的优化设计。
Aiming at the design difficulty for fuzzy neural network controller, an immune evolutionary algorithm is proposed to design the parameters of a radial basis function fuzzy neural network controller.
基于免疫算法原理和可靠度指标的几何涵义，提出了计算岩土工程可靠度指标和设计验算点的全局优化算法。
Based on the immune algorithm and geometric implication of the reliability index, a global optimization method was put forward to calculate the reliability index.
利用免疫进化算法，提出了一种新的模糊控制器优化设计方法。
By use of immune evolutionary algorithm, a new optimal method of fuzzy controller was presented.
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.
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.
提出一种新的求解复杂约束优化问题的免疫遗传算法。
To solve complex constrained optimization problems, we propose a new immune-genetic algorithm.
其中根据各样本重要性的不同，引入了加权支持向量机方法，然后利用免疫规划算法对其进行参数优化。
The immune programming algorithm, inspired by the immune system of human and other mammals, was used to optimize the parameters of weighted support vector machines.
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.
针对这一优化问题，设计了一种人工免疫算法。
To address the optimization problem, a modified artificial immune algorithm was developed.
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.
免疫算法是一种基于自然界生物体免疫系统的优化算法，是目前机械多目标优化设计中的一个新的研究方向。
Immune algorithm is an optimization algorithm based on immune system of organism in nature, now it is a new development direction in multi-object of mechanical optimization design.
在对基本的算法的分析比较基础上，分析了一种基于克隆的免疫遗传算法、基于高低位变异的免疫算法、基于粒子群优化的免疫算法。
On this basis, I analyze Immune Algorithm based on Clone, Immune Algorithm based on High and Low Position and Immune Algorithm based on Particle Swarm Optimization.
免疫进化算法是在深入理解现有进化算法的基础上，受生物免疫机制的启发而形成的一种新的优化算法。
Immune evolutionary algorithm is a new optimization algorithm inspired by biological immune mechanism based on the deep understanding of the existing evolutionary algorithm.
免疫进化算法是在深入理解现有进化算法的基础上，受生物免疫机制的启发而形成的一种新的优化算法。
Immune evolutionary algorithm is a new optimization algorithm inspired by biological immune mechanism based on the deep understanding of the existing evolutionary algorithm.
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