Fitness
共 67 篇文章
Fitness 相关的电子技术资料，包括技术文档、应用笔记、电路设计、代码示例等，共 67 篇文章，持续更新中。
The application described in this document is for a product that is subject to continuous developmen
The application described in this document is for a product that is subject to continuous developments and
improvements. All particulars of the product and its use contained in this document are giv
This a simple genetic algorithm implementation where the evaluation function takes positive values o
This a simple genetic algorithm implementation where the evaluation function takes positive values only and the fitness of an individual is the same as the value of the objective function
小波神经网络的源程序: 1.构造的非线性函数: 位于nninit_test.m 2.直接用WNN逼近非线性:Wnn_test.m, (内部调用小波函数) 3.遗传算法优化后逼近 :GA_Wnn_tes
小波神经网络的源程序: 1.构造的非线性函数: 位于nninit_test.m 2.直接用WNN逼近非线性:Wnn_test.m, (内部调用小波函数) 3.遗传算法优化后逼近 :GA_Wnn_test.m (内部调用遗传算法的,初始化,适应度,解码函数)-genetic algorithm optimization WNN source : 1. Construction of the nonl
基本粒子群优化算法Matlab源程序,其中的fitness函数可根据自己需要更改。
基本粒子群优化算法Matlab源程序,其中的fitness函数可根据自己需要更改。
A dissipative particle swarm optimization is developed according to the self-organization of dissip
A dissipative particle swarm optimization is
developed according to the self-organization of dissipative
structure. The negative entropy is introduced to construct an
opening dissipative system tha
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/* This a simple genetic algorithm implementation where the */ /* evaluation function takes positiv
/* This a simple genetic algorithm implementation where the */
/* evaluation function takes positive values only and the */
/* fitness of an individual is the same as the value of the */
/* objecti
This program is distributed in the hope that it will be useful, ** but WITHOUT ANY WARRANTY without
This program is distributed in the hope that it will be useful,
** but WITHOUT ANY WARRANTY without even the implied warranty of
** MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
** G
遗传算法代码
在实际应用中，利用遗传算法处理多目标优化问题，initPop=initializega(10,[0 9],'fitness');<br />
[x endPop,bPop,trace]=ga([0 9],'fitness',[],initPop,[1e-6 1 0],'maxGenTerm',25,'normGeomSelect',[0.08],'arithXover',[2 0],'nonUni
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an external program called from Adam s FitnessFunction class in order to evaluate the fitness of a
an external program called from Adam s FitnessFunction class in
order to evaluate the fitness of a genome within a distributed grid.
遗传算法的程序 遗传 算 法 (GeneticA lgorithm,G A)是一种大规模并行搜索优化算法
遗传算法的程序
遗传 算 法 (GeneticA lgorithm,G A)是一种大规模并行搜索优化算法，它模
拟了达尔文“适者生存”的进化规律和随机信息交换思想，仿效生物的遗传方式，
从随机生成的初始解群出发，开始搜索过程。解群中的个体称为染色体，它是一
串符号，可以是一个二进制字符串，也可以是十进制字符串或采用其他编码方式
形成的码串。对父代(当前代)群体进行交叉、变异等遗传操作后
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This library is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY without ev
This library is distributed in the hope that it will be useful, but
WITHOUT ANY WARRANTY without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
This a simple genetic algorithm implementation where the evaluation function takes positive values
This a simple genetic algorithm implementation where the
evaluation function takes positive values only and the
fitness of an individual is the same as the value of the
objective function
This a simple genetic algorithm implementation where the evaluation function takes positive values o
This a simple genetic algorithm implementation where the evaluation function takes positive values only and the fitness of an individual is the same as the value of the objective function
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This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY without ev
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Genera