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该算法为基于克隆选择原理的人工免疫算法。算法有三部分,第一部分为传统的遗传算法,第二部分CSA算法,两方法对一些函数求极值,可比较各自的特点。-based on the algorithm for clonal selection theory of artificial immune algorithm. Algorithms have three parts, the first part of the traditional genetic algorithm, the second pa
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克隆选择的免疫算法,结合克隆选择原理,提出克隆算子-Immune clonal selection algorithm, combined with clonal selection theory, proposed by cloning Operator
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关于人工免疫系统,克隆选择,免疫记忆的最新文献。并行人工免疫系统的塔式主从模型(Towerlike Master-Slave Model,TMSM),和基于TMSM的并行免疫记忆克隆选择算法-On artificial immune systems, clonal selection, immune memory, the latest literature. Parallel artificial immune system tower master-slave model (Towerlik
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该算法为基于克隆选择原理的人工免疫算法。CSA算法对一些函数求极值,可比较各自的特点。-The algorithm based on clonal selection principle of artificial immune algorithm. CSA algorithm for some function extremum, comparable respective characteristics.
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评述了近年来免疫原理在入侵检测中的应用,着重讨论抗体克隆选择学说、免疫网络学
说和危险模式理论的应用研究现状
-Immunology principle and its application in intrusion detection in recentyearswere reviewed. The research on
antibody clonal selection theory, immune networks and danger theorywere emphasi
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为求解大规模TSP 问题,提出了并行人工免疫系统的塔式主从模型( Towerlike Master2Slave Model ,
TMSM) ,和基于TMSM的并行免疫记忆克隆选择算法(Parallel Immune Memory Clonal Selection Algorithm ,PIMCSA) .- This paper presents a parallel model termed as towerlike master2slave model ( TMSM) for artifi
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The artificial immune system (AIS) community has been
vibrant and active for a number of years now,
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人工免疫克隆选择算法是一种比较新型的智能算法,其基本算法结构与遗传算法是类似的,以下源码是为网络节点分组调度问题而设计的算法。-Artificial immune clonal selection algorithm is a relatively new type of intelligent algorithms, the basic algorithm structure and the genetic algorithm is similar to, the following sour
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利用免疫系统的克隆选择机制,提出一种用于函数优化的算法. 算法的主要特点是:在迭代过程中,不仅抗体得到进化,同时建立变异向量集,令变异向量同步进化,协同工作,达到优化的目的. 仿真实验表明,所提出的算法能以较快的速度完成给定范围的搜索和全局优化任务-By using the clonal selection echanism of the immune system , a method for function optimizing is proposed. The character of
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为求解大规模TSP 问题, 提出了并行人工免疫系统的塔式主从模型(TMSM), 和基于TMSM 的并行免疫记忆克隆选择算法(PIMCSA) TMSM
是粗粒度的两层并行人工免疫模型, 其设计体现了分布式的免疫响应和免疫记忆机制. PIMCSA 用疫苗的迁移代替了抗体的迁移, 兼顾了种群多样性的保持和算法的收敛速度. 与其他算法相比, PIMCSA 在求解精度和运行时间上都更具优势, 而且问题规模越大优势越明显. TMSM 很好地体现了免疫系统的特性, PIMCSA 是适合求解大规模复杂优化问
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提出一种基于免疫原理的人工免疫算法,用于模糊关联规则的挖掘. 该算法通过借鉴生物免疫系统中的克隆选择原理来实施优化操作,它直接从给出的数据中,通过优化机制自动确定每个属性对应的模糊集合,使推导出的满足条件的模糊关联规则数目最多. 将实际数据集和相关算法进行性能比较,实验结果表明了所提出算法的有效性-An algorithm is proposed for mining fuzzy association rules based on immune principles , which is ma
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Artificial Immune-Based For
Voltage Stability Prediction In Power System
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针对低可见光图像和红外图像的特点,提出一种基于DT-CWT的自适应图像融合算法.该算法具有好的平移不变性和方向选择性,更适合于人类视觉.先对源图像作双树复小波变换,充分考虑各尺度分解层的系数特征,对
低通子带引入免疫克隆选择,根据统计评价准则定义亲和度函数,自适应获得最优融合权值 对高通子带则根据人类视觉特性定义局部方向对比度,并作为融合准则,突出和增强了各源图像的对比度与细节信息.实验结果表明:
与基于小波的融合结果相比较,本文的融合算法自适应性和鲁棒性更强,较好地保护和显示了源图像中
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一个基于人工免疫克隆选择算法的调度优化MATLAB源码,对应理解程序原理十分有用!-An artificial immune clonal selection algorithm based on scheduling optimization MATLAB source, corresponding to understand the program theory is very useful!
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IMMUNE SYSTEM TO USED IN MULTIOBJECTIVE
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人工免疫算法,采用信息熵计算抗体多样性,亲和力成熟通过克隆选择、细胞超变异来实现-Artificial immune algorithm, using information entropy calculated antibody diversity, affinity maturation through clonal selection, cell variant to achieve ultra-
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免疫克隆选择算法需求函数的最优解程序-Immune clonal selection algorithm demand function of optimal solution program
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免疫克隆选择算法打求解ts问题 可直接运行 功能强大-Immune clonal selection algorithm fight solving ts problems can be directly run powerful
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设计了免疫克隆选择算法ICS整定自抗扰控制参数的程序,并在无刷直流电动机速度控制上得到验证,程序简单可行,结果良好。-Immune clonal selection algorithm is designed ICS ADRC tuning parameters of the procedure, and in the brushless DC motor speed control is verified, the procedure is simple and feasible, with
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该算法为基于克隆选择原理的人工免疫算法。算法有三部分,第一部分为传统的遗传算法,第二部分CSA算法,两方法对一些函数求极值,可比较各自的特点。-The algorithm is based on the principle of artificial immune clonal selection algorithm. Algorithm has three parts, the first part of the traditional genetic algorithm, the secon
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