Description: :仿生优化算法是模拟自然界中生物行为的随机搜索算法,可以用来解决现实中的许多优化问题。简要介绍了目前比
较流行的四种新型仿生优化算法(蚁群算法、微粒群算法、人工免疫算法以及人工鱼群算法)的基本原理;然后深入分析了这
些仿生优化算法的异同之处-Bionic optimization algorithms aye stochastic search methods that mimic the natural biological behavior
of species.They age mainly applied to solve various optimization problems.This paper proposes the formulation of
four recent biology—based algorithms:an t colony algorithm,particle swarm optimization algorithm,artificial immune
algorithm,and artificial fish—swarln algorithm Platform: |
Size: 293888 |
Author:zhangyan |
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Description: 人工免疫算法,基于二进制编码,对一个函数进行寻优-Artificial immune algorithm based on binary encoding of a function optimization Platform: |
Size: 2048 |
Author:lr |
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Description:
人工免疫优化算法,求解二维函数的最优值,注释比较详细。-Artificial immune optimization algorithm, the optimal value of two dimensional function, more detailed comments. Platform: |
Size: 2048 |
Author:Bond |
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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。-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 second part of the CSA algorithm, two methods for some function extreme, can compare their characteristics. Platform: |
Size: 52224 |
Author:溫仁傑 |
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Description: This program is about AIRS classification to classify any data with the application of Artificial immune recognition system it generates a set of memory cells for feature classiciation Platform: |
Size: 1479680 |
Author:ali |
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