Description: 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 part of the CSA algorithm, two methods of function for some extreme, comparable own characteristics. Platform: |
Size: 11264 |
Author:wlh |
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Description: 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. Platform: |
Size: 12288 |
Author:陈沛谕 |
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Description: 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 artificial immune sys2
tems . Based on TMSM ,the parallel immune memory clonal selection algorithm (PIMCSA) is also designed for dealing with large2
scale TSP problems . Platform: |
Size: 70656 |
Author:小蓝 |
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Description: 免疫克隆算法，能更好的对其他智能算法进行优化-Immune Clonal Algorithm, can be better for other intelligent algorithm to optimize Platform: |
Size: 2048 |
Author:苏书惠 |
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Description: 基于生物免疫系统的自适应学习、免疫记忆、抗体多样性及动态平衡维持等功能,提出一种动态多目标免疫
优化算法处理动态多目标优化问题.算法设计中,依据自适应ζ邻域及抗体所处位置设计抗体的亲和力,基于Pa-
reto控制的概念,利用分层选择确定参与进化的抗体,经由克隆扩张及自适应高斯变异,提高群体的平均亲和力,利
用免疫记忆、动态维持和Average linkage聚类方法,设计环境识别规则和记忆池,借助3种不同类型的动态多目标
测试问题,通过与出众的动态环境优化算法比较,数值实验表明所提出算法解决复杂动态多目标优化问题具有较大
潜力.-:A dynamic multi-objective immune optimization algorithm suitable for dynamic multi-objective
optimization problems is proposed based on the functions of adaptive learning, immune memory, antibody
diversity and dynamic balance maintenance, etc. In the design of the algorithm, the scheme of antibody af-
finity was designed based on the locations of adaptive-neighborhood and antibody antibodies participating
in evolution were selected by Pareto dominance. In order to enhance the average affinity of the population,
clonal proliferation and adaptive Gaussian mutation were adopted to evolve excellent antibodies. Further-
more, the average linkage method and several functions of immune memory and dynamic balance mainte-
nance were used to design environmental recognition rules and the memory pool. The proposed algorithm
was compared against several popular multi-objective algorithms by means of three different kinds of dy-
namic multi-objective benchmark problems. Simulations show Platform: |
Size: 499712 |
Author:王飞 |
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Description: 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 source code for the network node designed for packet scheduling algorithms. Platform: |
Size: 1024 |
Author:张望 |
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Description: 这个是基于免疫克隆算法优化函数的程序，可以作为练习使用-This is based on immune clonal algorithm to optimize the function of procedure Platform: |
Size: 1024 |
Author:wangchanglin |
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Description: 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! Platform: |
Size: 27648 |
Author:sde |
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Description: 免疫克隆算法优化函数的程序，matlab环境下实现-Immune clonal algorithm to optimize the function of the program under the Matlab environment Platform: |
Size: 1024 |
Author:tian mou |
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Description: 基于matlab的免疫克隆算法，求解一元函数的最优解，可直接运行，出图-Matlab-based immune clonal algorithm to solve the optimal solution of functions of one variable, and can be run directly out of Figure Platform: |
Size: 3072 |
Author:杨彬 |
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Description: 基于matlab的免疫克隆算法，有主程序和子程序，可以直接运行，出图-Matlab-based immune clonal algorithm, the main program and subroutines can be run directly plot Platform: |
Size: 1024 |
Author:杨彬 |
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Description: Particle Swarm Optimization (PSO) is a newly-emerging heuristic global search algorithm based on swarm intelligence and it searches the global optimal point in the complex search space through the competition and collaboration of the particles; however, PSO is easy to get trapped in local extremum, to have premature
convergence or stagnation. In order to help PSO strike a balance between individual diversity and swarm convergence, this paper proposes an artificial immune PSO based on clonal selection. It integrates the advantages of artificial immunity and PSO and introduces the idea of immunity in PSO, namely to add immune operator in PSO so as to make PSO a new algorithm with the function of immunity. Platform: |
Size: 250880 |
Author:Dallaki |
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Search - matlab clonal immune algorithm