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: 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: 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: 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 - immune clonal selection algorithm matlab